AI Data Architect to support development of integration-heavy platforms.
Own features and deployments; contribute to pod leadership.
Build across the stack; guide delivery; solve complex integration problems.
Work on AI native platforms, including agentic learning systems.
Collaborate with customers and academia to drive tailored data science solutions.
Leverage AWS partnerships and AWS patterns to deliver impactful solutions.

🎯 Requirements

10+ years in Data or Software Engineering; 5+ years in architecture.
Strong experience with Python and Node.js.
LLM function/tool calling, prompt engineering, multi-agent orchestration, embeddings, vector databases (OpenSearch).
Experience with AWS tools such as Bedrock, Lambda, OpenSearch, and Step Functions.
End-to-end data architecture; ownership of latency, scale, and compliance.
Familiar with SQL and/or NoSQL databases and scalable design patterns; leadership/mentoring.

🎁 Benefits

Remote work in the US with 20% travel.

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