AI Security Engineer

Overview

Who we are

Excited to grow your career at Toyota?

We value our talented employees and, whenever possible, strive to help our associates grow professionally before recruiting new talent for open positions. If you think the open position is right for you, we encourage you to apply!

Our people make all the difference in our success.

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 experiences in an innovative, collaborative environment.

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

• Contribute 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

• Champion 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

• 5-7 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

• Vehicle purchase & lease programs 

• 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

• Paid holidays and paid time off

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

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. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong.

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.