AI Engineer

• Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
• Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).
• Apply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege).
• Collaborate with product, UX, and domain experts to deliver customer‑focused solutions with measurable outcomes.
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.
• Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects.

Principal Full Stack Engineer, AI Platform – Agents

Director Applied AI Engineering

Senior Machine Learning Scientist – Search, Recommendations, AI Engineering

Senior AI Engineer

Senior Manager – Data and AI Platform Activation

Manager – Gen AI Engineering