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Senior Solution Architect and SME, AI Governance

Galent

New York · On-site Full-time Senior 6d ago

About the role

Title

Senior Solution Architect and SME, AI Governance

Location

NYC / NJ

Type of Hire

Full Time

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 behaviour, operational risk, and enterprise‑grade workflows.

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

  • 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 preferred 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

Requirements

  • 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

Responsibilities

  • 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

Skills

AI GovernanceAgentic AI

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