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Artificial Intelligence Engineer Manager

Yesterday Plano, TX

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.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time

Toyota's Enterprise AI Department is looking for a passionate and highly motivated Artificial Intelligence Engineer Manager.

The primary responsibility of this role is to lead teams that design, build, and operate production-grade AI systems-owning architecture, delivery, and reliability for high-impact AI services across cloud and edge.

Reporting to the Senior Manager, AI Engineering & Architecture, the person in this role will support the Enterprise AI department's objective to accelerate AI adoption across Toyota's operations, enhancing efficiency and creating impactful AI-driven solutions.

This position is based in Plano, TX. The selected candidate will be expected to reside within a commutable distance of this location.

What you'll be doing

  • Own end-to-end delivery of AI services: requirements to production, including architecture, development, testing, deployment, and operations.
  • Define reference architectures, reusable components, and patterns for model serving, vector search, data pipelines, and retrieval-augmented generation, and drive adoption across teams.
  • Establish and enforce software development lifecycles for AI: code reviews, automated testing, model evaluation gates, performance and cost budgets, release management, and incident response.
  • Operate production AI systems to reliability objectives: monitor latency, throughput, drift, and cost; drive root-cause analysis and continuous improvement.
  • Integrate security and Responsible AI guardrails: secrets management, data protection, content safety, human-in-the-loop, audit evidence, and policy-aligned deployment checks.
  • Lead capacity planning, backlog, and roadmap; coordinate cross-team dependencies; manage vendor engagements and optimize cloud spend.
  • Coach and grow engineers and tech leads; set goals, conduct design reviews, and develop succession pipelines.

What you bring

  • Bachelor's degree or similar in Computer Science, Artificial Intelligence, Data Science, Business Administration, or a related field, or equivalent experience.
  • Minimum of 8-12 years in software engineering with 3+ years leading teams or managing managers delivering production AI systems.
  • Proven launch of at least two AI applications or platforms serving 10k+ daily requests or equivalent load, with documented service level objectives for latency and availability.
  • Hands-on experience with modern AI stacks: containerized microservices, APIs, vector databases, model serving frameworks, and CI/CD pipelines.
  • Track record of reducing production incidents or latency and cost by measurable amounts.
  • Security and compliance in practice: implemented secrets management, access controls, data minimization, and audit-ready logging across services.

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Added bonus if you have

  • Delivered retrieval-augmented generation systems at scale, including prompt and version management, guardrails, evaluation harnesses, and offline A/B testing.
  • Experience with edge or on-vehicle inference and mixed cloud and edge deployments, including model optimization and hardware acceleration.
  • Built shared platforms or reusable AI components adopted by product teams, with published documentation and SDKs.

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)).

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.

Client-provided location(s): Plano, TX
Job ID: Toyota_North_America-1484463673
Employment Type: FULL_TIME
Posted: 2025-12-05T19:01:57

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • On-Site Gym
  • Parental Benefits

    • Adoption Leave
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
  • Office Life and Perks

    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
  • Financial and Retirement

    • Relocation Assistance
  • Professional Development

    • Internship Program
    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
  • Diversity and Inclusion