Enterprise Agentic AI Architect
Core
Design and build the core architecture for Coursera's AI Builders and business pods to enable safe, cost-effective, and scalable agentic AI solutions.
Role type
Senior IC Agentic AI Architect Lead
Builds
Reusable patterns for agent orchestration, RAG, semantic search, governance, security, and self-serve AI development.
Domain
Enterprise AI, Agentic AI, LLM Operations
Deliverable
production ML models
Required skills
Agentic AI frameworks (LangGraph), Model Context Protocol (MCP), RAG, semantic search, LLM cost optimization, AI security, agent harness engineering, observability, CI/CD automation
Preferred skills
Enterprise systems integration, change management, people leadership
Technologies
LangGraph, MCP, LLMs
Responsibilities
Design context and semantic architecture for AI agents; build agent orchestration and harness engineering; establish governance and security guardrails; optimize LLM cost and performance; enable self-serve AI development with CI/CD; define agent operating model and adoption standards; lead architecture strategy and execution; manage production readiness and operational excellence; build and coach architecture and engineering teams.
Seniority
Senior, hands-on IC with leadership responsibilities
