Sr Software Engineer, AWS Applied AI Solution – Core Services

As part of the AWS Applied AI Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are no-brainers to buy and easy to use.

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 youll 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. Youll 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. Youll 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 wont just be implementing someone elses vision youll 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. Youll dedicate focused time to researching the latest AI agent techniques and designing reusable scalable building blocks for your capability area. Throughout the day youll 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
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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

- 10 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience designing and implementing evaluation systems that can measure AI system performance and experience with metrics and testing methodologies.
- Experience building hierarchical memory/storage systems for AI products including schema design for storing and retrieving context and memory reuse
- Experience developing tools and frameworks that manage prompts.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 168100.00 - 227400.00 USD annually