Project Manager Agentic Ai

Project Manager Agentic Ai focuses on leading end-to-end waterfall/hybrid agentic ai projects from conception to closure.

What the role involves

• Leading end-to-end waterfall/hybrid agentic AI projects from conception to closure.
• Create WBS, Gantt charts (CPM), and specifications (Agent Capability Matrix, MCP Tool Registry).
• Monitoring progress via Plan vs. Actual and Earned Value Management (CPI/SPI).
• Managing agentic AI–specific risks: goal misalignment, token cost blowouts, MCP downtime, unsafe tool calls.
• Implement formal change control for scope/timeline/budget.
• Coordinating internal AI engineers and third-party MCP vendors.

Skills and requirements

• We seek a plan-driven Project Manager with proven, hands-on experience delivering agentic AI projects (not just theoretical knowledge).
• Must have delivered at least one agentic AI project in production or pilot (e.g., autonomous customer support agent, multi-agent workflow, tool-using LLM system).
• Must be able to describe in interview: agent architecture (ReAct, planner-executor, etc.), tools used, how you handled non-determinism, safety guardrails implemented, and lessons l.
• Experience with MCP (Model Context Protocol) is highly preferred but not mandatory—agentic AI without MCP still qualifies.

Candidate fit

• ownership, planning discipline, stakeholder communication, and practical delivery judgement