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Legal AI Governance & Implementation Specialist

Polaris

Role at a glance

Category: AI Governance
Work arrangement: Hybrid
Location: Medina, MN
Posted: Jul 20, 2026

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Polaris is hiring a Legal AI Governance & Implementation Specialist in Medina, MN. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Polaris.

Evaluates AI use cases across the business for legal, regulatory, intellectual property, privacy, and ethical risks. Partners with IT, Legal, and Procurement teams to establish AI compliance standards, guardrails, and human-in-the-loop requirements. Conducts audits of external legal counsel and vendor AI tools to verify adherence to corporate governance

Full responsibilities and requirements are on Polaris's application page.

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About Polaris

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This role is based in Medina, MN on a hybrid schedule. Local candidates benefit from being close to Polaris's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Polaris would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.