Position Overview

We seek a plan-driven Project Manager with proven, hands‑on experience delivering agentic AI projects (not just theoretical knowledge). You will lead Agentic AI + MCP initiatives using classical (waterfall) project management—WBS, Gantt, EVM, formal change control—while managing AI engineering teams.

Key Responsibilities

Project Management (Classical)

• Lead 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).
• Monitor progress via Plan vs. Actual and Earned Value Management (CPI/SPI).
• Manage agentic AI–specific risks: goal misalignment, token cost blowouts, MCP downtime, unsafe tool calls.
• Implement formal change control for scope/timeline/budget.
• Coordinate internal AI engineers and third‑party MCP vendors.

Organizational Leadership