Technical Manager & Principal Engineer

Full job description

Compensation Range:

$185,000 - 215,000 USD

Compensation Disclaimer:
The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.

Who we need

Reporting to the Head of the Client Enablement Group, we are hiring a Technical Manager to lead a highly specialized development function supporting global enterprise clients using ARGUS and Altus Software solutions. This is a hands-on leadership role for someone who thrives at the intersection of people leadership, AI-first engineering, client delivery, and technical architecture. You will oversee a team of senior developers across North America and India while partnering closely with Architecture, Security, Product, and Client Success teams to design and deliver scalable integration solutions, custom tools, reporting capabilities, and automation workflows for some of the world’s largest real estate investors, banks, and financial institutions.

This is a remote position with the expectation that you can attend in-person meetings and team gatherings at one of our North American offices as required.

What’s in it for you

Impact and influence. You will lead the modernization of Integration Services within a global industry leader. This is an opportunity to bring structure, governance, AI-first thinking, and scalable engineering practices into a team responsible for delivering the “last mile” customizations and integrations that enterprise clients rely on every day. Your work will directly influence solution quality, delivery consistency, and the evolution of development standards across the team.

AI-first engineering environment. Altus is deeply invested in AI-enabled software development and automation. You will work in an environment where AI tooling, agentic workflows, cloud-based architecture, and automation are part of the development culture rather than future aspirations. This is an opportunity to work with modern engineering approaches while helping shape how AI-powered development practices are implemented across client-facing services and integrations.

Stability, collaboration, and growth. You will join a highly collaborative team with exceptional tenure and deep domain expertise. The group operates with the agility of a smaller engineering organization while benefiting from the scale and resources of a global company. Beyond the immediate role, there is potential to grow into broader product engineering, architecture, or software leadership opportunities within Altus.

As our new Technical Manager, Client Enablement, you will:

• Lead the Integration Services and development function. You will oversee a team of developers and integration specialists responsible for delivering custom solutions, integrations, reporting capabilities, automation workflows, and technical enhancements that extend the capabilities of Altus Software for enterprise clients.

• Partner across the business and with enterprise clients. You will work closely with Architecture, Security, Product, Client Success, and Consulting teams while serving as a trusted technical partner to some of the world’s largest real estate investors, banks, and financial institutions. You will translate business requirements into scalable technical solutions and help clients navigate complex integration and workflow challenges.

• Drive engineering discipline and operational governance. You will establish stronger development standards, testing frameworks, architectural documentation practices, code review processes, and delivery governance across the team, bringing greater structure, consistency, and scalability to how solutions are designed and implemented.

• Lead and mentor a distributed technical team. You will provide leadership, coaching, and direction to a team of North American and offshore developers and testers, supporting technical growth, collaboration, accountability, and high-quality delivery across a fast-moving consulting environment.

• Strengthen solution architecture and delivery practices. You will contribute to integration frameworks, reusable solution templates, coding standards, and deployment practices while ensuring projects align with approved architecture patterns, security requirements, and long-term platform strategy.

• Support AI-first engineering and modernization initiatives. You will help identify opportunities to leverage AI-powered automation, agentic workflows, and modern engineering approaches to improve delivery efficiency, scalability, and operational effectiveness across the Integration Services function.

• Remain hands-on technically. You will contribute directly to solution design, coding, troubleshooting, technical reviews, and architectural discussions, balancing leadership responsibilities with active participation in complex technical delivery work.

• Collaborate across architecture and technology teams. You will work closely with enterprise architecture, security, infrastructure, and product engineering teams to ensure custom solutions and integrations align with broader technology standards, governance expectations, and evolving platform capabilities.

• Act as a visible and trusted technical leader. You will bring clarity, structure, and forward-thinking leadership to a highly specialized and evolving function, helping modernize engineering practices while supporting a stable, collaborative, and long-tenured team environment.

You bring:

• The technical leadership experience. You have led software engineering, integration services, enterprise platforms, or client-facing technical delivery teams within a complex SaaS, enterprise software, or technology environment. You understand how to balance people leadership, delivery oversight, architectural governance, and hands-on technical contribution while supporting critical business and client outcomes.

• The AI-first engineering mindset. You bring hands-on experience with modern AI-enabled development practices and understand how AI-powered automation, agentic workflows, and emerging engineering tools can improve scalability, efficiency, and delivery quality. You are excited by the opportunity to help shape and mature AI-first engineering practices within a client-facing technical environment.

• The software engineering and integration expertise. You have strong experience working across enterprise integrations, APIs, cloud platforms, automation workflows, databases, and scalable software delivery practices. Exposure to technologies such as C#, Python, JavaScript/TypeScript, SQL, Azure services, CI/CD tooling, and cloud-based architecture is highly valued. Experience supporting SaaS platforms, enterprise systems, financial platforms, or real estate technology environments is considered an asset.

• The stakeholder management and communication skills. You are comfortable partnering with enterprise clients, business leaders, architects, developers, and cross-functional technology teams. You can translate complex technical concepts into practical business language, build credibility across technical and non-technical audiences, and navigate competing priorities within fast-moving delivery environments.

• The architectural and governance mindset. You have experience introducing stronger engineering discipline, development standards, delivery governance, and scalable technical processes within evolving teams. You understand how to balance technical quality, operational realities, security requirements, and delivery timelines while improving consistency and long-term maintainability.

• The people leadership capabilities. You have experience leading and mentoring technical teams, including coaching, performance management, technical development, and fostering accountability within collaborative environments. You can guide teams through change while helping establish stronger ways of working and a culture of continuous improvement.

• The adaptability and modernization focus. You are energized by complex technical challenges and evolving technology landscapes. You enjoy working across legacy and modern systems, introducing scalable improvements, and helping organizations modernize how solutions are designed, delivered, and supported.

• The ownership mindset and business acumen. You are someone who takes initiative, drives clarity, and follows through. You can assess risk, prioritize effectively, and make informed decisions while balancing client expectations, operational demands, and long-term technical strategy.

Apply now

If you're excited about this role but your experience aligns differently with every requirement, we encourage you to apply. While specific qualifications may be strictly required, others can be based on various experiences, backgrounds, and knowledge. We can't promise an interview, but we will consider your whole application.

What you can expect from our interview process:

• A virtual interview with a Talent Advisor to discuss your interest in joining the company and in the role. The conversation will be recorded using BrightHire, an AI-powered video interview tool. More details will be shared when you are invited to interview.

• A virtual interview with the Head of the Client Enablement Group focused on your leadership approach, experience managing technical teams, client-facing consulting environments, and your ability to balance hands-on engineering work with delivery oversight and operational governance.

• A virtual interview with a Principal Architect focused on technical depth, solution architecture, AI-enabled engineering practices, integration patterns, and your approach to scalable software design, development standards, and modern engineering processes.

• A final interview with the EVP, Customer Enablement and Services focused on your AI-first mindset, leadership philosophy, communication style, and your ability to drive modernization, technical discipline, and long-term engineering maturity within a highly collaborative and evolving technical environment.

Unlock your Altus Experience!

If you’re looking to advance your career in in an industry that is transitioning for greatness, there’s no better place than Altus Group.

Our high trust, high performance culture prioritizes progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognized and connected.

We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.

What Altus Group offers:

• Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.

• Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.

• Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.

Inclusivity & Accessibility

Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Applicants with disabilities may contact Altus Group to request and arrange for accommodations. If you need accommodation, please contact us at accessibilityusa@altusgroup.com or +1 888 692 7487.

Use of Artificial Intelligence

AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.

Background Checks

Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.

Other Notes / Application Process

We appreciate all applicants; however, only those selected to move forward will be contacted. Thank you for your interest in Altus Group.

Power Platform Developer

Job Description

At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.

The global law firm of K&L Gates LLP is seeking a Microsoft Certified Power Platform Developer skilled in Power Apps, Power Automate, Power BI, Dataverse, Copilot Studio, and SharePoint. This client-facing role involves designing, building, and delivering secure, scalable automation and AI solutions. Responsibilities include managing projects from requirements gathering to deployment and support while ensuring governance and compliance.

KEY RELATIONSHIPS
Chief Technology Officer, Director, Enterprise Applications, Senior Manager, Automation and Development, Senior Manager, Enterprise Applications, Project Contractor

ESSENTIAL DUTIES
• Leading virtual workshops to gather requirements and document processes.
• Designing secure architectures by integrating Power Platform components, Power BI dashboards, and SharePoint to provide actionable insights effectively.
• Building demos and proof-of-concepts to ensure solutions are validated effectively with stakeholders.
• Developing canvas and model-driven applications by utilizing Dataverse.
• Creating Power Automate flows, both cloud and desktop-based, to enable seamless process automation and improve operational efficiency.
• Designing and publishing Power BI reports and dashboards integrated seamlessly with Power Platform applications.
• Integrating solutions with SharePoint to enable efficient document organization, sharing, and team collaboration.
• Implementing ALM best practices using solutions, pipelines, and source control tools such as Azure DevOps or GitHub.
• Applying DLP policies, environment strategies, and role-based access controls to ensure secure and efficient operations.
• Partnering with EA/Sec to ensure governance and compliance for Copilot Studio operations.
• Owning project plans, timelines, and deliverables while utilizing Agile methodologies.
• Creating Copilot Studio AI agents with custom topics, connectors, and orchestration while ensuring adherence to responsible AI principles and data privacy standards.

EXPERIENCE & SKILLS REQUIRED
• Possess Microsoft Certified: Power Platform Developer Associate (PL-400) certification.
• Understand ALM, governance, and security best practices to ensure compliance and effective management of processes and systems.
• Possess certifications such as PL-200, PL-600, and AI-900.
• Demonstrate expertise in Responsible AI and telemetry integration for Copilot solutions.
• Demonstrate excellent skills in engaging with clients and effectively oversee various projects in a remote environment.
• Utilize Power Apps, Power Automate, Power BI, Copilot Studio, Dataverse, SharePoint, Azure DevOps, GitHub, custom connectors, and API integration effectively.
• Possess practical experience using Copilot Studio or comparable conversational AI platforms.
• 4+ years of experience with Power Apps, Power Automate, Dataverse, Power BI, and SharePoint.
• Demonstrate expertise in Power Pages, Azure Functions, and integrating APIs.
• Integrate Power Platform solutions with SharePoint to support enterprise content management effectively.

Compensation Salary - $148,000 - $296,000

The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.

#LI-NW1

In accordance with the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act, qualified applicants for our Los Angeles and San Francisco offices with arrest and conviction records will be considered.

ABOUT THE FIRM

K&L Gates is a fully integrated global law firm with lawyers located across five continents in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.

The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.

Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

BENEFITS

K&L Gates offers our personnel a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:

• Medical/Prescription Drug Coverage (including a Health Savings Account feature)

• Back-up Child/Elder Care and access to a caregiving concierge

• Dental Insurance

• Wellness Program

• Vision Insurance

• Pre-tax Commuting Benefits

• 401(k) Retirement Plan and Profit Sharing

• Business Travel Accident Insurance

• Short- and Long-term Disability Protection

• Pet Insurance

• Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)

• Health Advocacy Services

• Paid Time Off (25-30 days per year)

• Identity Protection/Restoration and Fraud Insurance

• Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)

• Student loan refinancing options and access to a student loan concierge service

• Paid Holidays (12)

• Addiction Resources

• Family Building Benefits

• Breast Milk Delivery and Lactation Support Services

• Flexible Spending Accounts

• Employees also may be eligible to receive bonuses and certain expense reimbursements

• Employee Assistance Program

• Professional Development and CLE Credit Opportunities

• 529 Deductions

• Relocation

• Accident Insurance

• Employee Referral Program

• Critical Illness Insurance

• Hybrid/Remote Work Opportunities

• Hospital Indemnity Insurance

• Perks including: Technology, Entertainment, and Travel Discount Programs

• Bereavement Leave

• All other benefits (such as leaves of absence) required by law

EQUAL EMPLOYMENT OPPORTUNITY

The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person’s race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm’s policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com.

Senior Software Engineer

Full job description

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

Senior Software Engineer, Platform

Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC

1 day onsite per week

Position Summary

At HackerOne, we’re revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As a Senior Software Engineer on our AI Platform team, you will contribute directly to the development of our next-generation AI security capabilities, including our in-platform AI security agent, Hai. You will help develop AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA; Boston, MA; Washington, DC; or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).

Primary Responsibilities

Success in this role will be accomplished by delivering the responsibilities below in alignment with HackerOne’s Talent Principles: AI-First, Change Agility, Data-Driven Decision Making, and First Principles Problem Solving.

• Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows.

• Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems.

• Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling.

• Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.

• Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.

• Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.

• Break down complex distributed systems and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.

Minimum Qualifications

• 5+ years of experience as a software engineer

• Must be able and willing to come to the office once per week (typically Thursdays).

• Experience working with cloud services like AWS, GCP or Azure.

• Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications

• Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts

• Understanding of responsible AI development and basic AI safety considerations

Preferred Qualifications

• Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)

• Experience with Agentic AI Ops, ML Ops.

• Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel

• Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systems

Compensation Bands:

Seattle, Austin, Boston, DC

$182K – $222K • Offers Equity

#LI-Remote

#LI-HM1

Job Benefits:

• Health (medical, vision, dental), life, and disability insurance*

• Equity stock options

• Retirement plans

• Paid public holidays and unlimited PTO

• Paid maternity and parental leave

• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)

• Employee Assistance Program

• Eligibility may differ by country

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Compensation Range: $182K - $222K

Advanced AI Architect

Full job description

We Are

We are entering a transformative era where Data & AI are reshaping industries, work, and society. Accenture is leading this evolution with a bold vision and a $3B investment in Data & AI. Our global team of 45,000+ AI professionals is driving innovation at scale—powered by deep expertise, strategic partnerships, and a commitment to delivering industry-defining solutions.

You Are:

As an Advanced AI Architect, you will be responsible for designing and delivering full stack AI architecture for an AI platform, AI product, or AI engagement on public, private or sovereign clouds. You’ll architect enterprise grade AI platforms and solutions for scalability, security, governance and performance that meet our client’s business needs. In that role you will be using the latest innovations in AI Agents, Generative AI, Foundation Models, Knowledge & Data Engineering. You will be designing and implementing cutting edge proof-of-concepts and pilots to demonstrate the capabilities of AI technologies to solve complex business problems and for enterprise readiness. This is a high-impact role where your contributions will shape the future of AI systems in the enterprise to deliver unprecedented business value.

The Work

Strategy & Planning

• Lead AI architecture & technical design workshops with client and Accenture teams

• Collaborate with client teams to finalize architectural requirements for AI solutions.

• Evaluate, rationalize and select technologies required for putting together the full stack of an AI platform or AI system

• Estimate design alternatives, effort, timeline, roadmap for deploying AI solutions.

• Develop TCO models and assess financial viability of AI platforms and solutions.

Architecture & Design

• Design and document architectural alternatives, technology choices and recommendations

• Identify, define, facilitate alignment of key architectural decisions required for AI solutions

• Design and document multi-agent architecture blueprints, AI security architecture blueprints, AI runtime architecture blueprints, AI governance solution blueprints, AI DevOps architecture blueprints, AI infrastructure architecture blueprints, multi-agent solution blueprints, knowledge and data layer blueprints.

• Design the knowledge architecture consisting of knowledge graphs, semantic layers for enabling AI Agents.

• Incorporate AI Security in platforms and solutions.

• Design and document solutions for AI security, governance, observability.

• Design and document AgentOps and LLMOps solutions.

• Recommend design optimizations and improvements for performance, cost, reliability, trust.

Implementation

• Implement AgentOps/LLMOps, AI Governance, AI Security, AI Observability solutions

• Design/Build reusable AI components, AI agents and solution patterns for Advanced AI systems and platforms.

• Troubleshoot, Analyze and optimize performance of AI systems, AI agents and platforms

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.

• Minimum of 2 year of experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions

• Minimum of 5 years of experience in designing, engineering & operationalizing large scale AI/ML solutions on at least one of the large public cloud platforms using latest cloud native AI services and frameworks, open-source technologies and 3rd party tools.

• Minimum 5 years of expert level understanding of key AI technologies from public cloud providers, open source and 3rd party technologies

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/02/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

#LI-NA-FY25

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Principal, Artificial Intelligence Engineering

Full job description

*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****

To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment.

What You’ll Do

OCC is the world's largest equity derivatives clearing organization—the infrastructure that settles every U.S. options trade. We've recently formed a dedicated AI Research & Engineering team, and we're looking for a Principal AI Engineer to serve as its technical anchor.

This is a senior individual contributor role by design. You won't manage people; you'll do the work, set the technical standard, and lead through expertise. You'll be the primary driver of OCC's agentic AI capabilities, architecting and building the systems that connect AI agents to real enterprise workflows in one of the most consequential and carefully regulated environments in financial markets. You'll shape OCC's AI roadmap alongside the Executive Director of AI Engineering, mentor junior engineers, and have time for experimentation with frontier tools. Our team works directly with AWS and Anthropic, accessing Claude models through both.

If you're a seasoned engineer who wants to stay hands-on, lead through technical excellence, and build agentic AI systems that matter this role was written for you.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

• Partner with the Executive Director of AI Engineering to define and execute OCC's AI technical roadmap, translating organizational priorities into concrete architectural decisions

• Lead OCC's agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows

• Leverage OCC's direct relationships with AWS and Anthropic to evaluate and adopt new model capabilities and tooling as they become available

• Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability

• Architect scalable systems that integrate LLMs and AI agents into OCC's internal systems, operational workflows, and business processes, owning decisions from design through production deployment

• Serve as the primary technical mentor for junior engineers: conducting code and architecture reviews, modeling engineering best practices, and raising the team's overall technical level (no direct reports)

• Define and enforce AI safety standards appropriate for a regulated SIFMU environment, including hallucination detection, output validation, bias assessment, and audit trails that satisfy SEC and CFTC oversight expectations

• Establish responsible AI practices and safety guardrails for LLM applications operating on sensitive financial data

• Navigate OCC's change management and security review processes when deploying AI systems into production

• Evaluate emerging AI technologies and provide concrete, risk-aware recommendations on adoption

Supervisory Responsibilities:

• None

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

Required

• Experience mentoring and elevating junior engineers

Preferred

• Exceptional ability to explain complex technical decisions to non-technical stakeholders

• Background in financial market infrastructure, derivatives, or similarly regulated industries

Technical Skills:

Required

• Expert-level Python; proficient in SQL

• Deep system design expertise: distributed systems, microservices, event-driven architectures, APIs, and MCP servers

• Hands-on experience with data engineering: pipelines, transformation, and data modeling

• AWS experience; comfort with Docker, Kubernetes, and CI/CD pipelines

• Strong production AI/LLM experience, or demonstrated hands-on passion for the space with the engineering depth to ramp quickly

• Strong working knowledge of AI risk vectors: hallucinations, prompt injection, bias, data privacy, and output validation

Preferred

• Production experience building and operating LLM-powered applications

• Experience designing and operating agentic AI systems in enterprise environments

• Experience with context engineering strategies including RAG, prompt architecture, and retrieval pipeline design

• Familiarity with frontier models including Claude, GPT, and Gemini, and hands-on experimentation with emerging tools

• Hands-on experience with Anthropic's tooling and APIs, including the Claude API, Claude.ai, or the Anthropic Console

• Experience connecting AI agents to enterprise systems and workflows

• Infrastructure as code (Terraform)

Education and/or Experience:

• Bachelor's or Master's in Computer Science or a related technical field

• 10+ years of software engineering and systems architecture experience, with demonstrated technical leadership

• 5+ years as a senior individual contributor on complex, high-stakes production systems

Certificates or Licenses:

• None required

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

• A hybrid work environment, up to 2 days per week of remote work

• Tuition Reimbursement to support your continued education

• Student Loan Repayment Assistance

• Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely

• Generous PTO and Parental leave

• 401k Employer Match

• Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

• The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.

• In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.

• We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers

• All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

$182,100.00 - $248,700.00

Incentive Range

23% to 30%

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.

Step 2
You will receive an email notification to confirm that we've received your application.

Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.

For more information about OCC, please click here.

OCC is an Equal Opportunity Employer

Principal AI Architect

Full job description

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.

Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Job

Design the foundation that makes intelligent systems scale for our enterprise.
The AI & Cloud Architect defines and governs the architecture that powers SCAN’s AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance.

You Will:

Architectural Design & Strategy

• Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake.

• Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution.

• Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry.

Infrastructure & Platform Enablement

• Build and maintain scalable cloud environments for model training, evaluation, and inference.

• Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.

• Implement high-availability, cost-optimized compute and storage strategies for AI workloads.

• Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements.

Orchestration & Automation

• Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management.

• Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services.

• Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement.

Governance & Collaboration

• Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards.

• Define metadata, lineage, and model registry conventions for consistent tracking and reuse.

• Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes.

• Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives.

Innovation & Thought Leadership

• Evaluate emerging Azure and open-source technologies to extend SCAN’s AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs).

• Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery.

• Coach engineers on architectural best practices and help shape the long-term technical roadmap.

Your Qualifications:

Deep Expertise in Azure Ecosystem

• Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric.

• Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs).

Architectural Design & Integration

• Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads.

• Strong understanding of network design, IAM, data governance, and enterprise integration patterns.

AI Engineering Foundations

• Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks.

• Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs.

Data & Metadata Strategy

• Understanding of data modeling, knowledge graphs, and semantic search design.

• Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions.

Responsible AI & Compliance Mindset

• Demonstrated commitment to secure, auditable, and explainable AI design.

• Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN’s Responsible AI framework.

Collaboration & Leadership

• Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance.

• Comfortable working in a fast-evolving environment balancing experimentation with operational rigor.

• Strong written and verbal communication skills for technical and executive audiences.

• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.

• Actively support the achievement of SCAN’s Vision and Goals.

• Other duties as assigned.

What's in it for you?

• Base Pay Range: $147,900 to $254,798 annually

• An annual employee bonus program

• Robust Wellness Program

• Generous paid-time-off (PTO)

• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days

• Excellent 401(k) Retirement Saving Plan with employer match

• Robust employee recognition program

• Tuition reimbursement

• An opportunity to become part of a team that makes a difference to our members and our community every day!

We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

#LI-JB1 #LI-Hybrid

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Principal, AI-Native SDLC Architecture

Full job description

What You'll Do:

OCC is transforming how its technology organization builds software. We have deployed AI-assisted development tools across the firm, enabled citizen development, and established AI governance. The next step is redesigning our software development lifecycle to be AI-native from the ground up — with graduated, tiered standards that work for everything from personal productivity tools to SCI-grade production systems.

Research from Stanford, HumanLayer, and Qodo consistently finds that the documentation and codified practices sufficient for experienced human developers are not detailed enough to drive consistent results from AI agents. Raising that bar benefits everyone — human developers onboard faster, key-person risk drops, and cross-team consistency improves. This role designs graduated standards and practices detailed enough that any competent developer, human or AI, can consume them and produce working code.

You will design a graduated SDLC framework with prescriptive practice standards at each tier of criticality, pilot with real development teams, and drive adoption across the enterprise. The deliverable is a working development lifecycle — not a document.

This is a rare opportunity to define how a critical financial market utility builds software in the AI era. You will have executive sponsorship, organizational mandate, and the backing to make standards enforceable rather than advisory.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

Design Graduated SDLC Standards and Practices

• Define prescriptive practice standards across multiple tiers of development criticality — from personal experimentation through operationally critical, SCI-adjacent systems

• Establish standards across key dimensions: structure, testing, documentation, error handling, dependencies, storage, review, and operability

• Elevate existing documentation, architecture decisions, integration patterns, and deployment procedures to the level of detail that drives consistent results from both human and AI developers

• Design documentation and testing standards that serve double duty: readable by human developers joining a project and consumable by AI agents starting a coding session

• Encode tier-appropriate standards into persistent context files (CLAUDE.md, AGENTS.md, planning templates) as a natural output of well-documented practices — not as a separate AI-specific exercise

• Design graduation triggers and assessment mechanisms for artifacts moving between tiers

Enable Citizen Development at Scale

• Create low-friction pathways for lower-tier development that enable experimentation without bureaucratic overhead

• Design intake, classification, and registry processes for citizen-developed tools — visibility without paralysis

• Solve the path from working prototype to supported environment at every tier

Drive Organizational Adoption

• Pilot the graduated SDLC with 2+ development teams, iterating based on real-world feedback

• Build alignment across Engineering, Architecture, Security, QA, and Governance/Risk functions

• Establish a quarterly organizational learning system where operational data, code review patterns, graduation assessments, and incident post-mortems feed back into living standards

• Develop training and coaching programs that help developers at every level internalize the standards — not just comply with them

Connect to Enterprise Architecture and Governance

• Provide the practice standards layer underneath the existing governance framework

• Ensure standards satisfy regulatory requirements (Regulation SCI, CPMI-IOSCO, internal audit)

• Coordinate with enterprise architecture to ensure SDLC standards reflect infrastructure reality

How This Role Works

This is a senior individual contributor role that leads through influence and organizational authority, not direct management. You will build consensus across multiple functions while being opinionated enough to define standards with teeth. You will have executive sponsorship from the CSO and CIO to make standards enforceable.

If you have spent your career building things that other people’s processes depend on, and you are frustrated by organizations that treat development standards as optional guidelines, this role exists to fix that.

What Success Looks Like

Timeline

Milestone

90 Days

• Current SDLC variations assessed. Tier structure validated with stakeholders. Ownership model resolved.

6 Months

• Practice standards published for all tiers. Context engineering templates in use. Pilot underway with 2+ teams. Intake and classification process operational.

12 Months

• Standards organizationally agreed and ready for enterprise rollout. Automated validation gates active. Learning system operational with first quarterly review completed.

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

Required:

• 10+ years in software engineering, architecture, or development methodology roles

• Demonstrated experience designing and implementing SDLC standards or development practice frameworks at organizational scale — not single-team

• Hands-on experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent) in real codebases — not just demos

• Working knowledge of context engineering: persistent context files, research-plan-implement workflows, progressive disclosure, context window management

• Experience with brownfield/legacy codebases — understanding why AI-assisted development in complex existing systems is fundamentally different from greenfield

• Strong facilitation and coalition-building skills — ability to drive alignment across engineering, security, architecture, and governance functions

• Excellent written and verbal communication — ability to translate technical concepts for executives and organizational standards for AI agents

Preferred Qualifications

• Experience in financial services, particularly regulated environments (SIFMU, bank, exchange, clearinghouse)

• Familiarity with NIST AI Risk Management Framework, Regulation SCI, or CPMI-IOSCO principles

• Experience with CI/CD pipelines, automated testing frameworks, and quality gate enforcement

• Background in organizational change management — understanding that SDLC transformation is a culture change, not a standards document

• Track record of staying current with rapidly evolving AI development practices — demonstrated through conference participation, publication, or community engagement

What We Offer

• The chance to define how a SIFMU builds software in the AI era — a problem very few organizations are solving at this level of rigor

• Executive sponsorship and organizational mandate to make standards enforceable

• A leadership team that understands context engineering, has studied the research, and is committed to AI-native transformation — not just AI adoption

• Competitive compensation commensurate with the Principal level

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

• A hybrid work environment, up to 2 days per week of remote work

• Tuition Reimbursement to support your continued education

• Student Loan Repayment Assistance

• Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely

• Generous PTO and Parental leave

• 401k Employer Match

• Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

• The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.

• In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.

• We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers

• All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

$175,100.00 - $282,800.00

Incentive Range

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.

Step 2
You will receive an email notification to confirm that we've received your application.

Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.

For more information about OCC, please click here.

OCC is an Equal Opportunity Employer

Mech Product Manager- Data Center Engineering

Full job description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Key job responsibilities

• Review, update, and approve equipment submittals

• Work with global liquid cooling equipment suppliers and manufacturers

• Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance)

• Work on concurrent projects, in multiple geographic zones

• Understand and explain complex systems in clear and concise language

• Develop Product Roadmaps

• Listen to the voice of the customer to understand technical and business requirements

• Work with global supplier and manufacturers to design new products

• Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale

• Ability and willingness to travel domestic and internationally for up to 30% to 40% of the year

A day in the life
Our Technical Product Managers work closely with key partners to innovate, create, manage, and deliver world class products to be deployed in our data centers. Our product manager work passionately to define customer requirements, development compelling product strategies to drive business value, and partner with cross functional teams and external vendors to make their strategies a reality at AWS scale!

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

• Bachelor's degree

• 4+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience

• 2+ years managing hardware products for direct-to-chip or immersion forms of liquid cooling

PREFERRED QUALIFICATIONS

• Knowledge of agile product development and life-cycle management process

• Experience leading cross-functional teams to deliver products and online services on tight deadlines

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 129,200.00 - 174,800.00 USD annually
USA, VA, Herndon - 129,200.00 - 174,800.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually

Software Systems Engineer

Full job description

Job Summary
We are seeking a dynamic and highly skilled Software Systems Engineer to join our innovative technology team. In this role, you will be at the forefront of designing, developing, and maintaining complex software systems that drive our business forward. Your expertise will help ensure our customers can access and control their harsh-environment electronics (from UI to Hardware). If you thrive in a fast-paced environment and are passionate about leveraging cutting-edge technologies to solve challenging problems, this opportunity is perfect for you!

Duties

• Design and develop scalable, reliable software systems utilizing system architecture principles and best practices in solution architecture.

• Conduct system hardening, vulnerability assessments, threat intelligence analysis, and vulnerability management to uphold information security standards.

• Troubleshoot debugging issues across multiple programming languages such as JavaScript, C#, Python, C++, Ruby on Rails, VBA, Shell Scripting, and more to resolve technical challenges efficiently.

• Participate in system design reviews for new projects involving system architecture planning with emphasis on scalability and security considerations.

• Assist in the development of disaster recovery plans by implementing system backups.

Requirements

• Bachelor’s degree in Computer Science or related field; advanced certifications in systems engineering or solution architecture are a plus.

• Strong knowledge of cloud platforms

• Hands-on experience with database management systems

• Proficiency in scripting languages

• Deep understanding of high pressure / high temperature electronics, data acquisition, and UI development

• Strong problem-solving skills with the ability to debug complex issues across multiple platforms and languages quickly. Join us to be part of a forward-thinking team where innovation meets impact! We’re committed to fostering an inclusive environment that supports your growth while empowering you to make meaningful contributions through cutting-edge technology solutions.

Pay: $120,000.00 - $145,000.00 per year

Benefits:

• 401(k)

• 401(k) matching

• Dental insurance

• Health insurance

• Paid time off

• Vision insurance

Work Location: In person

AI Engineer

Full job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

At Allstate Investments, we are seeking an AI Developer who is a fast learner and rapid problem solver, capable of quickly understanding new domains, technologies, and business problems, and translating them into high impact proof-of-concept (PoC) solutions. This role requires the ability to move quickly from idea to working prototypes, validate value early, and then guide successful PoCs into scalable, production-ready AI solutions.

As a member of the Investments Technology group, your work directly supports an $80bn portfolio and an organization of 300+ experts committed to excellence, innovation, and the highest ethical standards. You will be a hands-on developer – pairing daily with other engineers and guiding adoption of LLMs, RAG, vector stores, and agentic frameworks. You’ll partner closely with product and platform leaders to build AI systems.

You will:

Collaborate with a highly talented and diverse team of professionals

Continuously expand your skill set by learning new technologies, tools, and methodologies.

Proactively identify opportunities for innovation, with the autonomy to rapidly explore, prototype, and validate new ideas.

Play a key role in the design, development, and deployment of AI/ML solutions.

Lead the transition of AI/ML initiatives from proof of concept to scalable, production-ready solutions.

Key Responsibilities:

• Establish and socialize strong AI engineering fundamentals, design patterns, code quality standards.

• Participate in projects, demonstrating technical expertise and a hands-on approach in experimentation and productization.

• Partner with product stakeholders to iterate quickly on PoCs, incorporating feedback and refining solutions in short cycles.

Qualifications:

• Minimum of 5 years of python development

• Minimum of 3 years of experience working on AI projects, with a focus on productizing AI/ML solutions.

• Deep understanding of machine leaning fundamentals and ability to apply them in developing and implementing AI/ML solutions.

• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks).

• Data-driven decision making, combining robust analytical thinking with sound business judgment.

• Excellent communication with both technical and non-technical team members.

• Comfort with hands-on involvement in AI/ML experimentation and model development.

• Solid grasp of software development principles, including design patterns, testing, and version control such as Git. (preferred)

• Inquisitive nature, with a deep understanding of both technical and business aspects. (preferred)

Technical Skills Needed:

1) Programming & Engineering Excellence

• Python (advanced), APIs, pipelines, and AI orchestration

• Java/ReactJS (optional)

2) LLM & GenAI Engineering

• Hands-on experience with LLMs (preferably GPT models)

• Prompting patterns and structured outputs

• Model evaluation including accuracy/faithfulness checks, hallucination mitigation, regression testing

• Safety/guardrails patterns appropriate for enterprise use

3) Demonstrated ability to leverage GitHub Copilot for code acceleration:

• Rapid scaffolding of code, services, APIs, and development

3) Data Skills — SQL + SQL Server, Microsoft Fabric(optional)

• SQL skills

• Query authoring, joins, indexing awareness

• Ability to design data access patterns for AI

4) LLM & GenAI Engineering

• Hands-on experience with LLMs (commercial)

• Prompting patterns and structured outputs

• Strong experience implementing RAG architecture with ingestion pipelines, chunking strategies

• Vector database / vector search experience with Indexing, similarity search, metadata filtering

• Experience with MCP patterns, Standardizing tool/context access for models and agent runtimes

• Designing MCP servers/tool endpoints and integrating them into LLM apps

• Experience implementing agentic workflows, A2A patterns such as multi-agent collaboration (planner/executor/reviewer/retriever roles)

8) Cloud

• MS Azure Fabric preferred

9) Observability & Production Support

• Experience operating and supporting AI-enabled services in production:

• Logging, metrics, tracing (APM tools such as Datadog)

• Model/prompt monitoring, drift signals, quality regression detection

Supervisory Responsibilities

• This job does not have supervisory duties.

Education

• 4 year Bachelors Degree

#LI-PG1

Skills

Building Architecture, Emerging Technologies, Ideation, Large Language Model (LLM) Fine-Tuning, Python (Programming Language), Structured Query Language (SQL)

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.