Security ML / AI Engineer, Senior

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. Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a Senior AI Security Engineer to help shape how the Cloud Security Centre of Excellence secures Artificial Intelligence (AI) across the business. You'll operate at the intersection of cloud security and AI - configuring detection and response tooling, reviewing AI solution architectures, and providing hands-on guidance to engineering, data science, and risk teams.   What you’ll be doing Configure, deploy, and maintain AI-driven detection and response capabilities across the enterprise security environment Monitor AI security tooling for anomalous behavior, false positives, and detection efficacy, tuning policies and rules to optimize performance Develop and refine detection policies, response playbooks, and automated workflows for AI-powered threat identification Conduct architecture reviews of AI and machine learning solutions proposed by engineering and data science teams, evaluating security posture and risk Provide security guidance and best practices to cross-functional teams adopting cloud-based AI services (e.g., model hosting, agent frameworks, inference APIs) Evaluate and recommend security controls for large language model deployments, including prompt injection mitigation, data leakage prevention, and model access governance Partner with cloud engineering teams to ensure AI workloads follow security baselines and comply with enterprise standards Develop and maintain AI security reference architectures, design patterns, and documentation for internal consumption Advise application development, data science, and risk/compliance teams on secure integration of AI capabilities into their workflows Contributes to the development of AI security policies, standards, and governance frameworks Perform risk assessments on third-party AI tools and services being evaluated for business adoption Championing a security-first mindset across the organization by delivering training, brown bags, and awareness sessions on AI security topics Make contributions to management and solve intermediate to complex business problems   What you bring 4-6 years of experience in cybersecurity, cloud security, or security engineering Hands-on experience with cloud-based AI/ML services and platforms (e.g., model hosting, inference APIs, agent frameworks) Strong understanding of cloud security principles, architectures, and controls in enterprise environments Experience configuring and operationalizing security