AI Architect (Pod Lead)

Experience: 10+ years engineering experience, including significant demonstrated impact designing and deploying production AI systems at scale.

The hands-on technical lead and the one broad role on the pod. You own the Detection & Disposition Engine architecture end to end, you are the senior voice in the joint working sessions, and you write code and review pull requests. Your first job is to convert an open-ended "research task" into a typed, measurable decision pipeline.

Qualifications

Python — production-grade.

Agentic / multi-agent architecture; orchestration (LangGraph or equivalent), typed state, tool contracts; context and prompt engineering; evaluation engineering.

Demonstrable judgment on deterministic versus probabilistic system design — you can point to systems where you deliberately kept the model out of the critical path.

RAG and code/knowledge-graph design; retrieval-pipeline design and tuning.

Production LLM systems at scale on AWS (Bedrock) or equivalent.

Evaluation harnesses: golden sets, confidence calibration, regression suites that gate model and prompt changes.

Spec-driven development; power user of AI coding agents (Claude Code, Cursor, Codex).

Outstanding written and verbal articulation.