Director, AI Governance Implementation

AgentsFlow; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

AgentsFlow is seeking a senior professional to lead the end-to-end implementation of its AI governance platform for enterprise customers. You will own deployment, integration, and adoption across complex environments.

Expect to configure policy engines, audits, and governance models while collaborating with engineering and product teams to close gaps and accelerate customer success.

Qualifications

• 10+ years in enterprise SaaS implementation (governance, GRC, or AI)
• Strong systems integration experience (APIs, workflows)
• Ability to translate business policy into system configuration

Responsibilities

• Lead end-to-end implementation of AI governance platform across enterprise customers
• Own deployment, integration, and adoption
• Integrate with enterprise systems (APIs, workflows, gateways)
• Configure policy engines, controls, and audit workflows
• Define governance operating model (RACI, approvals, escalation)
• Partner with engineering and product to close gaps
• Build implementation methodology and accelerators

Skills

Enterprise SaaS implementation

Systems integration

APIs

Governance / GRC

Policy translation

RACI / approvals

Tools

ServiceNow

AI/ML lifecycle tooling

Job description

Lead enterprise AI governance implementations, compliance initiatives, and risk management programs for global organizations deploying AI at scale.

About the Role

You will lead end-to-end implementation of our AI governance platform across enterprise customers — owning deployment, integration, and adoption.

What You'll Do

• Integrate with enterprise systems (APIs, workflows, gateways)
• Configure policy engines, controls, and audit workflows
• Define governance operating model (RACI, approvals, escalation)
• Partner with engineering + product to close gaps
• Build implementation methodology and accelerators

What We’re Looking For

• 10+ years in enterprise SaaS implementation (ideally governance, GRC, or AI)
• Strong systems integration experience (APIs, workflows)
• Ability to translate business policy into system configuration

Nice to Have

• Background in ServiceNow or similar platforms
• Exposure to AI/ML lifecycle tooling