Senior AI/ML Platform Engineer

Toyota North America • Plano, TX

23h

About The Position

Toyota Financial Services Enterprise Platforms team is seeking a highly skilled Senior AI/ML Platform Engineer to help our growing ML, AI and GenAI platform infrastructure needs. As a Senior AI/ML Platform Engineer, you will design, build, and support scalable platform capabilities that enable enterprise MLOps and LLMOps. You will work independently on features and services, while partnering with product owners to understand business requirements, aligning with architecture direction, and collaborating with platform engineering, data, and cybersecurity teams to deliver secure, reliable, and performant environments for model training, inference, orchestration, and retrieval-augmented generation (RAG) use cases. The ideal candidate will have demonstrated hands-on experience in cloud and platform engineering and ability to execute independently while collaborating effectively across technical and business teams.

Requirements

• Bachelor’s degree that provides a strong foundation in software engineering or related fields.
• 6+ years of software engineering experience with solid expertise in cloud platforms or infrastructure engineering.
• 2+ years of hands-on experience building or supporting infrastructure for AI/ML workloads (training and/or inference).
• Proficiency with AWS services and infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.
• Hands-on experience with Kubernetes (EKS or equivalent), containers, and CI/CD pipelines.
• Working knowledge of scalable microservice patterns and platform reliability practices.
• Familiarity with observability tools like Datadog, CloudWatch, or Prometheus.
• Strong skills in Git/GitHub and CI/CD tools such as GitHub Actions or Jenkins.

Nice To Haves

• Familiarity with AWS AI/ML services like SageMaker or Bedrock.
• Experience with LLMOps and GenAI platform patterns such as LangChain, RAG pipelines, or embedding workflows.
• Exposure to vector databases and model registries.
• AWS Solutions Architect Associate or Machine Learning certifications.

Responsibilities

• Design, build, and enhance cloud-native platform components for AI/ML and LLM workloads in production environments.
• Implement and operate MLOps and LLMOps capabilities including model training workflows, deployment pipelines, monitoring, and rollback support.
• Build and optimize containerized and GPU-enabled runtime environments for efficient model serving and inference.
• Integrate platform services such as model registries, vector data stores, and orchestration tooling to streamline workflows.
• Develop reusable patterns for inference services, prompt flow integration, and performance tuning to maximize platform efficiency.
• Implement secure-by-default controls including access management, logging, and auditability for AI platform services.
• Partner with engineering, data, and cybersecurity teams to enhance observability, resiliency, and operational readiness.
• Contribute to technical design reviews and establish engineering standards for AI/ML platform services.
• Troubleshoot production issues, perform root cause analysis, and drive continuous improvements to the platform.
• Stay current with evolving AI/ML platform technologies and best practices to keep Toyota at the forefront of innovation.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior