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
- Lead and hold accountable ML engineers, MCP developers, and safety testers.
- Manage team capacity across multiple agent projects.
- Conduct performance evaluations based on delivery and baseline adherence.
Process & Meeting Management
- Run milestone reviews, change control boards, and daily stand-ups.
- Maintain task boards, production readiness checklists, and documentation wikis.
Requirements
Mandatory: Proven Agentic AI Experience
- 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 learned from failures.
- Experience with
MCP (Model Context Protocol)
is highly preferred but not mandatory—
agentic AI without MCP
still qualifies.
Classical PM Expertise
- 5+ years project management
- Bachelor’s degree in one of the following or related fields: Business Administration, Management, Industria
📌 Project Manager (Mumbai)
🏢 PST.AG
📍 Mumbai