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Principal AI Governance & Security Engineer

Toyota North America

Plano, TXFull TimePrincipal
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Location
Plano, TX
Employment
Full Time
Work model
On-Site
Level
Principal
Posted

Skills

CybersecurityGenAI

About this role

Overview

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future. Who we’re looking for Toyota Financial Services' AI & ML Platforms team is looking for a passionate and highly motivated Principal AI Governance & Security Engineer . This is a hands-on, principal-level role that sits at the intersection of AI governance, AI security, and forward deployed engineering. You will help build the enterprise control plane that lets Toyota deploy AI and agentic systems safely, compliantly, and at scale — turning governance and security requirements into working, production-grade controls rather than documents. Reporting to the Director of AI & ML Platforms and partnering closely with the AI Governance team, Cybersecurity, Model Risk, Legal, Privacy, and the business, you will own the technical foundation for how AI use cases and agents move from idea to production. A typical week spans three kinds of work: shaping the governance framework and lifecycle controls (roughly half your time), hardening the security posture of our AI and agentic platforms (about a quarter), and embedding directly with use-case teams to design, build, and ship the controls they need to launch (about a quarter). The ideal candidate combines deep governance and information-security judgment with a strong software engineering background, and is equally comfortable authoring a control standard, threat-modeling an agent, and writing the code that enforces both. What you’ll be doing  In this role you'll help shape the foundation for Toyota Financial Services' next generation of governed AI and agentic capabilities, where success means AI systems that are demonstrably safe, auditable, compliant, and useful in production. You'll balance governance rigor against engineering velocity so teams can innovate within guardrails instead of around them. AI Governance (≈50%) Design, author, and maintain the enterprise AI governance framework — standards, policies, and procedures across the full lifecycle of AI use cases and models, from intake through production monitoring and retirement Operationalize lifecycle gates: intake, risk classification, control design, approval workflows, monitoring, and remediation Define risk tiers and controls proportional to use-case risk, extending model risk management to AI/ML and GenAI in line with SR 11-7, NIST AI RMF, the EU AI Act, and ISO/IEC 42001 Own the Agent Registry and AI inventory as the authoritative source of truth — registration, versioning, and prevention of shadow-AI deployments Translate governance policy into repeatable, testable engineering controls,

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