Lead AI/ML Platform Engineer

TCC Toyota Motor Credit Corporation Company; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Team Member Vehicle Purchase Discount

Comprehensive health care"},{

Job summary

Toyota Financial Services is seeking a Lead AI/ML Platform Engineer to design, build, and scale enterprise AI/ML and GenAI platform capabilities. You will enable secure, production-ready MLOps and LLMOps infrastructure for model training, inference, and orchestration, partnering with architecture and data teams to deliver reliable AI services at scale.

You will design cloud-native infrastructure, implement GPU-accelerated environments, and lead cross-functional reviews to establish standards and

Qualifications

• 10+ years of software engineering with cloud infra focus.
• 3+ years building AI/ML cloud infra (training, tuning, inference).
• Deep hands-on AWS + IaC tooling experience.

Responsibilities

• Design cloud-native infra for enterprise AI/ML & GenAI workloads.
• Collaborate with product, architecture, data and security teams to solve infra challenges.
• Lead MLOps and LLMOps capabilities: model training, versioning, deployment, monitoring.
• Create GPU-accelerated compute environments balancing performance and cost.
• Standardize patterns for vector databases, model registries, and orchestration.

Skills

Cloud infrastructure

AWS

Terraform

Kubernetes

CI/CD pipelines

GPU infrastructure

Observability tools

Git/GitHub

Education

AWS Solutions Architect Professional or ML certification

Tools

Terraform

CDK

CloudFormation

Kubernetes

Datadog

CloudWatch

Prometheus

MLflow

Airflow

Ray

Job description

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. 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.

Who we’re looking for

Toyota Financial Services Enterprise Platforms team is looking for a passionate and highly motivated Lead AI/ML Platform Engineer. The primary responsibility of this role is to design, build, and implement scalable platform solutions that power enterprise AI/ML and GenAI capabilities across the organization. You will help enable secure, production-ready MLOps and LLMOps infrastructure that supports model training, inference, orchestration, and retrieval-augmented generation. The Lead AI/ML Platform Engineer will support the Enterprise Platforms team’s objective to deliver reliable, secure, and high-performing AI platform capabilities that drive business value at scale.

What you’ll be doing

In this role, you’ll help shape the foundation for Toyota Financial Services’ next generation of AI platform capabilities, where success means building systems that are scalable, resilient, and ready for production use.

A typical day may include collaborating with product, architecture, engineering, data, and cybersecurity partners to solve complex infrastructure challenges while improving the developer and model lifecycle experience.

Design and implement cloud-native infrastructure that enables enterprise AI/ML and GenAI workloads in production

Build and evolve MLOps and LLMOps platform capabilities, including model training, versioning, deployment, monitoring, and rollback

Create GPU-accelerated compute environments that improve model performance while balancing scalability and cost efficiency

Standardize infrastructure patterns for vector databases, model registries, and orchestration frameworks

Develop reusable approaches for model serving, inference scaling, prompt management, and latency optimization

Design secure, multi-tenant environments with strong access controls, auditability, and usage governance for AI models

Partner closely with engineering, platform, and data teams to ensure smooth data flow, strong observability, and operational resiliency

Own technical direction for AI infrastructure services and integrations in collaboration with the architecture team

Lead design reviews, establish engineering standards, and help guide critical technical decisions

Mentor engineers, provide thoughtful feedback, and support growth through coaching and development planning

Stay current on emerging GenAI, distributed systems, and infrastructure trends to bring fresh ideas and better solutions to the team

What you bring

• 10+ years of experience in software engineering, with a focus on cloud infrastructure or cloud platform engineering
• 3+ years of experience building cloud infrastructure that supports AI/ML workloads such as training, tuning, and inference
• Deep hands-on experience with AWS and infrastructure-as-code tools such as Terraform, CDK, or CloudFormation
• Experience with Kubernetes, containerization, and CI/CD pipelines in a production environment
• Strong understanding of GPU infrastructure, serverless compute, and scalable microservice patterns
• Familiarity with model hosting, inference scaling, and observability tools such as Datadog, CloudWatch, or Prometheus
• Practical experience using Git/GitHub and CI/CD tooling such as GitHub Actions or Jenkins
• Added bonus if you have Experience with AWS AI/ML services such as SageMaker or Bedrock
• Familiarity with LLMOps tooling and GenAI infrastructure such as LangChain or RAG pipelines
• Experience working with vector databases, model registries, or orchestration tools such as MLflow, Airflow, or Ray
• Knowledge of prompt management, token usage optimization, and model performance tuning
• AWS Solutions Architect Professional or Machine Learning certification

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

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 [e-mail].

At Toyota, we don’t just have a vision, but a group of talented, dedicated people who work hard every day to turn that vision into reality. Our mission is to build a future where everyone has the freedom to move. We believe that nothing is impossible. We have big dreams and persevere through any obstacles. We work together to create the future of mobility and make the world a better place.

Career Possibilities:

Toyota is a place for people who dream big and are determined to make those dreams a reality. We encourage innovation and look for people who will challenge the status quo in order to make the world a better place. We thrive on teamwork and collaboration and know diverse backgrounds, experiences and perspectives are not only the right thing for our people, they are a business imperative. Together, we’re empowered to forge our own paths — to be agile, curious and embrace a growth mindset and immerse ourselves in situations to gain new perspectives and to inspire bold, innovative ways of thinking and working. Our success as a company is directly tied to our team members’ success, and our collective ability to give back to society through an unwavering commitment to delight our customers and make people’s lives better. If you want to be part of the next-generation of innovations that help keep the world moving, then join us. And let’s start our impossible, together.