Sr Software Dev Engineer, AI Agent Identity & Governance, AWS Applied AI Solution – Core Services

What you'll do

• Own technical architecture and strategy for an AI agent capability, and set its roadmap.
• Lead engineering projects, research and integrate AI technologies, and build reusable components.
• Drive cross-team alignment, engineering practices, mentoring, and communication of technical designs.

What they ask for

• 5+ years of non-internship professional software development and 5+ years programming in at least one language.
• 5+ years leading system design or architecture, plus experience as a mentor, tech lead, or engineering team lead.
• Experience across the full software development life cycle and designing and implementing AI/ML systems, including LLMs, prompt engineering, RAG, fine-tuning, or AI agent development.
• Experience building reliable enterprise-scale distributed systems and reusable components; strong working knowledge of AWS AI/ML services such as Amazon Bedrock and SageMaker.

Nice to have

• 10+ years of full software development life cycle experience.
• Bachelor's degree in computer science or equivalent; expertise in PII protection or sophisticated authorization frameworks is also preferred.

Pay

168,100.00 - 227,400.00 USD annually (base salary)

Tools

Amazon Bedrock, SageMaker, LLMs, RAG

AI focus

Develops reusable AI agent components, including capabilities such as agent identity and governance, collaboration and orchestration, evaluation, or knowledge management.