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AI/ML On-site

Enterprise Agentic AI Architect

Job Overview

The Senior Agentic AI Architect Lead designs and builds the core architecture that Coursera’s AI Builders and business pods will run on — so that a small team (a Business Product Owner, a Process Expert, an IT Product Owner, and an AI Engineer) can redesign a…

Key points

  1. Governance Architecture - Build technical guardrails that enforce—not just document—who can build what, what data and systems an agent can access…

  2. Security Architecture - Design defenses specific to agentic AI, including agent identity and access control, least-privilege permissions, prompt injection, data leakage, secure credentials…

  3. Self-Serve AI Development (“Vibe Coding”) with CI/CD Automation - Extend and mature Coursera’s self-serve deployment path so AI-assisted…

  4. LLM Cost & Performance Optimization - Design caching, model routing (matching task complexity to the right-sized model), token and context optimization…

  5. Hands-on experience with agentic AI frameworks and orchestration (e.g., LangGraph or comparable) and familiarity with Model Context Protocol (MCP) or similar standards for connecting…

  6. Experience designing agent harnesses, evaluation frameworks, guardrails, testing, observability, and failure recovery for production AI systems.

  7. Practical experience with enterprise context architecture, RAG, semantic search, or structured data access.

  8. Practical experience with LLM cost and performance engineering—prompt caching, model routing, token economics—with quantifiable results.

Skills

RecruitingCI/CDLLMsRAGStakeholder ManagementSocial MediaRoadmappingTest Automation

Experience: 12+ years

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