Sr Software Dev Engineer, AI Agent Identity & Governance, AWS Applied AI Solution - Core Services

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Biology, Business Solutions, Call Center Software, Cloud Computing, Coaching, Code Reviews, Coding Standards, Computer Science, Conferences, Design Patterns Programming Methodologies, Distributed Computing, Healthcare, Information Technology & Information Systems, Information/Data Security (InfoSec), Just in Time (JIT), Knowledge Management, Leadership, Leading Edge Technology, Maintain Compliance, Mentoring, Open Source, Power Generation, Product Development, Programming Languages, Project Engineering, Quality Metrics, Small Business, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Source Code/Configuration Management (SCM), Startup, Supply Chain, Team Building, Team Lead/Manager, Team Player, Technical Leadership, Technical Strategy, Technical/Engineering Design, Test Plan/Schedule, Testing

LOCATION

Seattle, WA

POSTED

10 days ago

Description Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications. The Core Services team within AWS Applied AI Solutions is creating the foundations that will power the next generation of AI agents from small business to enterprise scale. As a technical leader, you'll lead our new agentic AI building blocks initiative, pioneering the development of reusable AI components that accelerate and standardize AI product delivery across AWS business applications such as contact center, supply chain, healthcare and life sciences. You'll own one critical capability area such as agent identity and governance, agent collaboration & orchestration, agent evaluation, or knowledge management, and have the privilege to define what we build and how we build it. This role combines the excitement of a startup environment with the scale of AWS. You'll research state-of-the-art open source and internal tools, tackle highly ambiguous problems, and lead a team building a V1 product from the ground up. You won't just be implementing someone else's vision - you'll chart the course, define the roadmap, and create solutions that eliminate non-differentiating work while ensuring enterprise-grade quality and consistency. If you thrive on ownership, are passionate about AI, and want to fundamentally influence how AWS builds AI products, this role offers an extraordinary opportunity to make your mark. Key job responsibilities - Own the technical architecture and strategy for a critical AI agent capability area, setting the foundation for enterprise-scale AI solutions across AWS - Lead projects requiring multiple engineers, balancing business goals with technical excellence while navigating ambiguous problem spaces - Research, evaluate, and integrate state-of-the-art AI technologies, making informed decisions about build vs. leverage approaches - Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges - Drive consensus across teams with different priorities and perspectives to create unified AI building blocks - Champion engineering best practices, establishing a culture of robust software development with exemplary code organization, clarity, and maintainability - Mentor and coach other engineers, fostering technical growth while creating an environment where your team thrives independently - Communicate complex technical designs to diverse audiences, from engineers to non-technical stakeholders and senior leadership A day in the life Your morning starts with an engineering team standup, followed by collaborative sessions with product managers in your team to provide requirement and internal customer inputs. You'll dedicate focused time to researching the latest AI agent techniques and designing reusable, scalable building blocks for your capability area. Throughout the day, you'll work with engineers and scientists within your team to implement solutions, leveraging coding agents to write and test code more efficiently. You might lead a technical design review with scientists, engineers, product managers, solution architects from across Applied AI Solutions, gathering diverse perspectives to strengthen your approach. Your day could include architecture, prompt, component, API design work, meeting with internal customers to understand their AI agent needs, or presenting your vision to leadership stakeholders. About the team ABOUT AWS: Diverse Experiences Amazon 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience designing and implementing AI/ML systems, including working with LLMs, prompt engineering, retrieval augmented generation (RAG), fine-tuning, or AI agent development - Proven track record building distributed systems with well-designed APIs that operate reliably at enterprise scale - Demonstrated ability to create reusable software components with clean interfaces that can be leveraged by multiple teams - Strong working knowledge of AWS AI/ML services such as Amazon Bedrock, SageMaker, and related infrastructure - Successful history of cross-organizational collaboration, driving technical convergence while maintaining delivery velocity Preferred Qualifications - 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Expertise in PII handling and data protection, with knowledge of data masking techniques, de-identification methodologies, and regulatory compliance frameworks for managing sensitive information in AI systems - Experience designing sophisticated authorization frameworks featuring fine-grained permission models that support delegation, just-in-time approval workflows, and clear attribution between human and AI agent actions 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, WA, Seattle - 168,100.00 - 227,400.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles