Sr Software Engineer, AWS Applied AI Solutions – Core Services

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

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. buy 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
• 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.

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.

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.

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.

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
• - 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region