Senior Software Engineer, AWS Agentic AI
Role details
Job location
Tech stack
Job description
- Design and implement core infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems
- Optimize agent invocation latency, cold start performance, and resource utilization across Lambda Sandbox, Snapstart, and custom compute platforms
- Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response
- Collaborate with AWS Lambda, Bedrock, and open-source framework teams (LangChain, LangGraph, Strands) to integrate and optimize agent runtime capabilities
- Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations
- Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices
Requirements
In this role, you will build new or enhance existing Bedrock AgentCore services that are going to be trend setting in the Agentic AI field. This is an area that requires solving the hardest engineering challenges to enable machine learning powered solutions for our customers. As a tier one Amazon service our solutions have to be scalable, efficient, and fault tolerant. Experience with machine learning systems is preferred, but not required. You will deliver some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of distributed database technology and have a significant bottom-line impact on our business and competitive position. In addition to delivering critical software, you will draw from a deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues. This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact., * 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, * 5+ 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