Sr Software Engineer, AWS Applied AI Solutions – Core Services

What you'll do

• Own technical strategy and architecture for an AI-agent capability area, such as identity and governance, orchestration, evaluation, or knowledge management.
• Lead engineering projects and research, evaluate, and integrate AI technologies to build reusable, enterprise-grade components.
• Drive cross-team technical alignment, engineering best practices, and mentoring.

What they ask for

• 5+ years of 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 leader.
• Experience with 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, working knowledge of AWS AI/ML services, and cross-organizational collaboration.

Nice to have

• 10+ years of full software development life cycle experience; bachelor's degree in computer science or equivalent.
• Experience with AI evaluation systems, hierarchical memory/storage for AI products, or prompt-management tools and frameworks.

Pay

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

Tools

Amazon Bedrock, SageMaker, LLMs, prompt engineering, retrieval augmented generation (RAG)

AI focus

Develop reusable AI-agent building blocks for AWS business applications, including areas such as agent identity and governance, collaboration and orchestration, evaluation, and knowledge management.