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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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