Sr Software Engineer, AWS Applied AI Solution - Core Services

Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's 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 Amazon's 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, 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.

• 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

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…