Solution Architect with AI Governance & Agentic AI

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