Lead AI/ML Platform Engineer

Toyota North America•Plano, TX

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

A collaborative work environment built on teamwork, flexibility, and respect
Professional growth programs including tuition reimbursement to advance your career
Team Member Vehicle Purchase Discount and Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for you and your family
Toyota 401(k) Savings Plan with company match plus annual retirement contributions regardless of your participation
Paid holidays and paid time off for work-life balance
Referral services for prenatal care, adoption, childcare, schooling, and more
Tax-advantaged accounts including Health Savings Account (HSA), Health Care FSA, and Dependent Care FSA

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