Senior AI Agentic Lead

What You'll Do

• Serve as the primary technical point of contact for the client, embedded on‑site.
• Design, build, and deploy AI agent workflows across engineering and other use cases, e.g. PR review and acceleration, test generation, incident correlation & RCA, knowledge graphs, support triage, documentation refresh, etc.
• Get trained on client‑specific tools, platforms, and engineering processes, then cascade that knowledge to the Global team.
• Lead sprint‑based delivery across a distributed team setting technical standards, reviewing outputs, and unblocking issues.
• Collaborate with the client's stakeholders to define scope, validate agent outputs, and iterate quickly.
• Work closely with other members of the team to incorporate platform knowledge into agent design.
• Identify automation opportunities across the developer journey and translate them into well‑scoped, executable agent implementations.
• Operate the AI Agentic CoE governance cadence: daily team sync, weekly KPI review, monthly steering with client sponsors.

• 10+ years software engineering, 2–3 years focused on AI / LLM‑based systems.
• Must be hands‑on actively building, coding, deploying, not just directing.
• Proven experience designing and building agentic systems with multi‑step reasoning, tool use, memory, orchestration.
• Familiarity with other LLM providers (OpenAI, open‑weight Llama / Mistral, cloud‑native model platforms).
• Experience with agentic frameworks Lang Chain, Lang Graph, Auto Gen, CrewAI, OpenAI Agents SDK, or similar.
• Python proficiency; APIs, data pipelines, workflow automation.
• Production LLM patterns: RAG, evaluations, guardrails, structured outputs, function calling, prompt engineering.
• Enterprise client work translating ambiguous requirements into working systems.
• Strong communication skills.

• Developer‑platform / Dev Ex / SRE / observability engineering background.
• Identity / IAM / fraud / trust‑and‑safety domain exposure.
• Familiarity with enterprise tooling ecosystems (ticketing, dashboards, service graphs, deployment tools, observability stacks).
• Prior consulting or embedded‑engagement experience.