Toyota

Sr. Security AI/ML Engineer

Toyota$120K — $145K *
Plano, TX 75025In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6 years of experience in cybersecurity, cloud security, or security engineering
  • Hands-on experience with cloud-based AI/ML services and platforms
  • Strong understanding of cloud security principles and controls
  • Experience in configuring security detection and response tooling
  • Ability to conduct security architecture reviews
  • Strong communication and interpersonal skills to influence teams
  • Working knowledge of a major cloud platform with a focus on security services

Responsibilities

  • Configure, deploy, and maintain AI-driven security capabilities
  • Monitor AI security tools, tuning for performance and accuracy
  • Develop detection policies and automated response workflows
  • Conduct security architecture reviews of AI solutions
  • Provide guidance on secure cloud-based AI services integration
  • Evaluate security controls for large language model deployments
  • Partner with cloud teams to ensure compliance with security baselines

Benefits

  • Work environment built on teamwork and respect
  • Professional growth programs and tuition reimbursement
  • Team Member Vehicle Purchase Discount
  • Comprehensive health care and wellness plans
  • 401(k) Savings Plan with company match and contributions
  • Paid holidays and time off
  • Referral services for various family support needs
  • Tax Advantaged Accounts for healthcare costs
  • Relocation assistance if applicable
Full Job Description
Overview

Toyota Financial Services (TFS) Technology team is looking for a highly motivated person to fill a role as a Senior Security AI/ML 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
• 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)

About Toyota

Toyota Motor Corporation is a Japanese multinational automotive manufacturer headquartered in Toyota City, Aichi, Japan. The company was founded in 1937 by Kiichiro Toyoda and has since grown to become the world's largest automotive manufacturer. Toyota Motor Corporation produces a wide range of vehicles including cars, trucks, and buses. The company is committed to sustainability and has set a goal of achieving zero carbon emissions by 2050. Toyota Motor Corporation has operations in over 170 countries and regions around the world.
Learn more about Toyota
Size
372,817 employees
Market Cap
$225.1 billion
Industry
Net Income
$1,531.2 billion
Founded
1937
5 Year Trend
+2.6%
Revenue
$26,625.1 billion
NASDAQ

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