Job Description
The Role:
We are building a new solution category within AI Governance to accelerate the adoption of enterprise
AI, and this role owns it – from first principles to first clients.
You will take a strategic insight, structure it into a solution, prototype it, and commercialize it with
clients. It sits at the intersection of AI model behavior, operational risk, and enterprise-grade workflows.
You think in frameworks. You have commercial instincts. You're a builder who can sell. You understand that being early to a problem is an advantage and you know how to use it.
What You’ll Do:
Translate a business problem or hypothesis into a structured, client-ready solution
Own the intellectual core: methodology, scoring logic, domain-specific test libraries
Run discovery with quants, risk officers, AI engineers, and COOs
Introduce the offering into active client conversations alongside the sales team and convert audit engagements into follow-on remediation work
Be the external voice: conferences, practitioner forums, written point of view
Build the operating model, delivery methodology, and team as the capability scales
What You Bring:
Required:
Prior experience in building Agentic AI systems and AI governance frameworks
Operational fluency in how AI models behave in production (failure modes, degradation patterns, oversight gaps)
Ability to translate a diagnostic finding into a remediation roadmap a builder can act on
Track record of taking ambiguous problems from whiteboard to client-ready artifact
Preferred:
12+ years of relevant experience in BFSI in a delivery or advisory capacity (or both)
Direct experience with agentic AI systems: how they are architected and where they break
Prior exposure to model risk management or AI governance in a regulated environment