AI Governance Engineer: Controls & Capabilities Enablement

Rockefeller Capital Management; Trenton (NJ); On-site; USD 150,000 - 200,000; Full time

Job summary

Rockefeller Capital Management in New Jersey is seeking an experienced AI Governance Engineer to enable safe, deliberate adoption of AI across the firm. You will translate policy into concrete platform controls across Microsoft and Anthropic environments, with hands-on implementation and enforcement.

The role emphasizes evaluating new AI capabilities, scripting automation, and working with Risk, Compliance, CISO, and AI Governance teams to deliver measurable, auditable security and governance

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Cybersecurity, or a related technical field.
• 5+ years in enterprise technology, with at least 2 years working directly with generative AI, LLMs, copilots, or agent platforms.
• Hands-on experience configuring tenants, platform, or security controls.
• Proficiency in scripting and automation with PowerShell, Python, Graph API, and KQL.
• Hands-on experience with at least one major enterprise AI platform: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, or Anthropic Claude.

Responsibilities

• Interpret and implement enterprise control requirements. Translate policies, standards, and risk decisions into concrete technical controls, review gates, and deployment standards for AI capabilities.
• Configure and script the controls across Microsoft and Anthropic services — tenant/admin center, Copilot policies, Azure AI Foundry, Entra, Purview data protection controls.
• Automate governance at scale using scripts (PowerShell, Graph API, Python, KQL) to inventory agents and skills, enforce policy, detect drift, monitor usage, and produce audit evidence.
• Own agents and skills end to end from intake to deployment, monitoring, recertification, and retirement.
• Run capability review assessments for new AI features against risk, security, and compliance criteria and elevate decisions as needed.

Skills

AI governance

PowerShell

Python

Microsoft 365 Copilot

Azure AI Foundry

Entra and Purview

Education

Bachelor’s degree in Computer Science or related field

Tools

Graph API

KQL

Copilot Studio

Anthropic

Job description

Rockefeller Capital Management in New Jersey is seeking an experienced AI Governance Engineer to enable safe, deliberate adoption of AI across the firm. You will translate policy into concrete platform controls across Microsoft and Anthropic environments, with hands-on implementation and enforcement.

The role emphasizes evaluating new AI capabilities, scripting automation, and working with Risk, Compliance, CISO, and AI Governance teams to deliver measurable, auditable security and governance