Jobs › Senior AI GRC Engineer
Senior AI GRC Engineer
Role at a glance
- Category
- AI Governance
- Work arrangement
- Remote
- Location
- .
- Posted
- Jun 13, 2026
Vanta is hiring a Senior AI GRC Engineer in .. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Vanta.
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior AI GRC Engineer at Vanta, you’ll own and lead governance, risk, and compliance initiatives related to Vanta’s internal AI adoption and customer-facing AI products. You’ll apply deep expertise about AI governance and compliance frameworks and partner closely with various engineering teams (Security, Product, Corporate) to build and monitor scalable guardrails that sustainably and responsibly maximize our productivity and velocity. You’ll incorporate GRC Engineering principles, values, and best practices every step of the way and help us become the leader in GRC Engineering. Vanta’s GRC Engineering team enables Vanta’ns to make smart risk decisions so we can reliably achieve our objectives, operate with integrity, and bolster customer trust. We treat our internal GRC program as a product that serves our internal and external customers’ needs. We are also Customer Zero of Vanta’s platform and work closely with our GRC SME team and Engineering/Product/Design (EPD) organization to help improve our products. What you’ll do as a Senior AI GRC Engineer at Vanta: Drive Vanta’s internal AI governance programs (e.g., ISO 42001) while also evaluating new frameworks for Vanta to adopt Lead our cross-functional Hardening Enterprise AI Team (GRC Engineering, Corporate Engineering, Product Engineering, Security Engineering) in researching, implementing, and continuously monitoring scalable compliant AI guardrails that optimally balance risk mitigation, compliance, and productivity Partner closely with the rest of GRC Engineering and other Vanta’ns to ensure AI governance, risk management, and compliance are baked into Vanta’s programs, projects, and SDLCs Champion sustainable AI usage across Vanta by being an early adopter and expert user of our AI tools and guardrails, regularly sharing best practices and use cases to foster responsible AI adoption across the company Scale streamline our GRC programs by building agentic AI deterministic automation Evangelize AI GRC Engineering best practices and solutions through thought leadership on Vanta’s blog, social media, and virtual/in-person events How to be successful in this
Full responsibilities and requirements are on Vanta's application page.
Apply for this role →Location and market context
This is a remote AI governance role, so it draws from a national talent pool rather than a single metro. Remote governance and compliance roles reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Vanta.
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 Vanta 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.
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