About the job
AWS Context is a new AWS service that gives AI agents access to an organization's context through a governed knowledge graph. It is the foundational layer that enables enterprise AI systems to reason over business data — connecting agents to the right context, at the right time, with the right governance controls. AWS Context sits at the heart of Amazon's AI strategy: without grounding in real organizational data, AI agents are generic. With it, they become genuinely useful.
The team is working towards launching the first release of AWS Context. We move fast, ship often, and iterate aggressively on customer feedback. You won't wait for quarterly planning cycles to make decisions — the team ships, learns, and adjusts in days, not months. We value engineering leaders who thrive in ambiguity, bias strongly toward action, and build a culture where failing fast is a feature, not a bug. If you've run a scrappy team that punched above its weight, you'll feel at home here.
This is a high-visibility engineering leadership role at the intersection of frontier AI, large-scale data systems, and customer-facing agentic products. You will lead a team of SDEs in Seattle/Bellevue building systems that process billions of queries, ship agentic features used by AWS customers globally.
Responsibilities
- Lead a team of SDEs in Seattle/Bellevue building systems that process billions of queries
- Ship agentic features used by AWS customers globally
- Move fast, ship often, and iterate aggressively on customer feedback
- Build a culture where failing fast is a feature, not a bug
- Thrive in ambiguity and bias strongly toward action
Qualifications
Minimum
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Preferred
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience in building agentic AI product feature and leading a frontier-AI development team