Senior AI​/ML Platform Engineer

Overview

Toyota Financial Services (TFS) is a division dedicated to delivering innovative, high‑quality solutions that enhance customer experience across Toyota and Lexus in North America.

• 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.

• Bachelor’s degree in software engineering or related field.
• 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 Cloud Formation.
• 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, Cloud Watch, or Prometheus.
• Strong skills in Git/Git Hub and CI/CD tools such as Git Hub Actions or Jenkins.
• Added bonus:
  Familiarity with AWS AI/ML services such as Sage Maker or Bedrock.
• Added bonus:
  Experience with LLMOps and GenAI platform patterns such as Lang Chain, RAG pipelines, or embedding workflows.
• Added bonus:
  Exposure to vector databases and model registries.
• Added bonus: AWS Solutions Architect Associate or Machine Learning certifications.

• Collaborative work environment built on teamwork, flexibility, and respect.
• Professional growth programs, including tuition reimbursement.
• Team Member Vehicle Purchase Discount and Lease Vehicle Program.
• Comprehensive health care and wellness plans for you and your family.
• Toyota 401(k) Savings Plan with company match and annual retirement contributions.
• Paid holidays and paid time off for work‑life balance.
• Referral services for prenatal care, adoption, childcare, schooling, and more.
• Health Savings Account (HSA), Health Care FSA, and Dependent Care FSA.

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.