Senior AI/ML Platform Engineer

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. 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. Who we’re looking for 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. What you’ll be doing 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. What you bring 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. Added bonus if you have: 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. What we’ll bring During your interview process, we’ll share details about our industry‑leading benefits and career development opportunities designed to support your growth and well‑being. 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. 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 View email address on click.appcast.io. #J-18808-Ljbffr