AI Governance Engineer: Controls & Automation

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

Job summary

Rockefeller Capital Management seeks an experienced AI Governance Engineer to drive safe, deliberate adoption of AI across the firm. You will translate governance requirements into scalable controls, configure tenant-wide settings, and automate policy enforcement across Microsoft and Anthropic ecosystems.

The role focuses on hands-on implementation, including guardrails, auditability, and secure data handling, enabling continued innovation within a compliant framework.

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 — not just specifying them.
• Proficiency in scripting and automation with PowerShell, Python, Microsoft Graph API, and KQL, applied to policy enforcement, monitoring, or audit reporting.
• Hands-on experience with at least one major enterprise AI platform: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, or Anthropic Claude.
• Working knowledge of how agents, skills, prompts, grounding, connectors, and retrieval behave — including where they can leak data or produce unreliable results.
• Strong grasp of identity, access, and data protection fundamentals, ideally in an Entra and Purview environment.
• Proven ability to read a policy or control standard and determine what it means in practice for a platform configuration.
• Clear, concise writing and the confidence to present recommendations to senior stakeholders.

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. Implement guardrails across Microsoft and Anthropic services — tenant and admin center settings, Copilot policies, Azure Foundry configuration, Entra policies, and Purview data protection controls.
• Automate governance at scale. Build scripts and automation (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. Maintain the inventory, ownership model, and lifecycle from intake to retirement.
• Run capability review assessments. Evaluate new AI features against risk, security, and compliance criteria and escalate as needed.
• Assess LLMs and model changes. Test and compare models, track updates, and provide evidence for governance decisions.

Skills

PowerShell

Python

Microsoft Graph API

KQL

Scripting & automation

AI governance

Policy enforcement

Cloud & platform controls

Security & data protection

Education

Bachelor’s degree in CS/IS/Data Science/Cybersecurity

Tools

Microsoft 365 Copilot

Copilot Studio

Azure AI Foundry

Anthropic Claude

Job description

Rockefeller Capital Management seeks an experienced AI Governance Engineer to drive safe, deliberate adoption of AI across the firm. You will translate governance requirements into scalable controls, configure tenant-wide settings, and automate policy enforcement across Microsoft and Anthropic ecosystems.

The role focuses on hands-on implementation, including guardrails, auditability, and secure data handling, enabling continued innovation within a compliant framework.