Security ML / AI Engineer, Senior

Overview

Who we are

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 detection and response tooling
• Ability to conduct security architecture reviews and communicate findings to technical and non-technical stakeholders
• Strong communication and interpersonal skills with the ability to influence cross-functional teams without direct authority
• Working knowledge of at least one major cloud platform with emphasis on security services and configurations

Added bonus if you have

• Familiarity with AI/ML threat landscapes including prompt injection, data poisoning, model extraction, and adversarial attacks
• Experience developing security policies, standards, or reference documentation
• Self-motivated individual who thrives in ambiguous environments and can build processes from the ground up
• Experience performing risk assessments on third-party technologies and vendor solutions
• Fundamentals on emerging AI threats, adversarial techniques, and evolving security frameworks 

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: 

·       A work environment built on teamwork, flexibility, and respect

·       Professional growth and development programs to help advance your career, as well as tuition reimbursement

·       Team Member Vehicle Purchase Discount

·       Toyota Team Member Lease Vehicle Program (if applicable)

·       Comprehensive health care and wellness plans for your entire family

·       Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)

·       Paid holidays and paid time off

·       Referral services related to prenatal services, adoption, childcare, schools and more

·       Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

·       Relocation assistance (if applicable) 

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.