Sr Software Engineer, AWS Applied AI Solution – Core Services

Amazon • Seattle, WA

23h

About The Position

As part of the AWS Applied AI Solutions organization, the vision is 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. This is achieved by accelerating customers’ businesses through intuitive and differentiated technology solutions that solve enduring business challenges, blending vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. 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, this role involves leading a 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. The individual will own a critical capability area like agent identity and governance, agent collaboration & orchestration, agent evaluation, or knowledge management, defining what and how it is built. This position offers a startup-like environment within AWS, involving research of state-of-the-art open source and internal tools, tackling ambiguous problems, and leading a team to build a V1 product from scratch. The role requires charting the course, defining the roadmap, and creating solutions that eliminate non-differentiating work while ensuring enterprise-grade quality and consistency, fundamentally influencing how AWS builds AI products.

Requirements

• 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

Nice To Haves

• 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.

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

Benefits

• 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
• parental leave
• flexible work hours and arrangements
• endless knowledge-sharing, mentorship and other career-advancing resources

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed