Director — Applied AI Centre of Excellence & IP Factory

Role Purpose
Runs the CoE + IP Factory — sandbox, accelerator and blueprint library, quality / eval / IP gates, and the throughput that feeds the swarms..
$$ Target — Revenue & Value Mandate
Build engine behind ~$25–40M lit-pod revenue (illustrative); accelerator reuse value; prototype-to-prod ≤6 weeks.
Core Responsibilities
•Run CoE throughput, the sandbox and the accelerator / IP library
•Operate quality, eval and IP gates
•Feed accelerators and blueprints to the pods
•Manage build / token cost and CoE unit economics
•Lead build specialists, the practice lead and the CoE side of the India bench
•Direct the IP Factory toward autonomy: agentic blueprints, digital-employee reference apps and eval harnesses as first-class assets
Ownership Boundaries — Owns
•CoE throughput, IP library and gates
•Sandbox economics
Ownership Boundaries — Does Not Own
•Applied-AI architecture authority (Principal Applied Tech)
•Account P&L (LoB)
Required Capabilities
•Applied-AI engineering leadership
•Reusable-asset / IP-factory track record
•FinOps on build and token cost
•People leadership
Preferred Capabilities
•Anthropic-stack depth
•Platform / accelerator productisation experience