AI​/ML Platform Engineer

Location Frisco, Texas, 75034 Category Accounting & Finance, Fintech, & Treasury Job   Posted Date 10/01/2026

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  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 AI/ML Platform Engineer
. This role helps build and operate cloud-native platform capabilities that enable enterprise MLOps and LLMOps and support AI/ML and GenAI application delivery. You will contribute hands-on engineering across APIs, services, deployment pipelines, and platform automation, working closely with senior engineers, architecture, platform, data, and product teams.

This is an early-career software engineering role for candidates with 1-3 years of professional experience who are eager to grow their skills and take ownership of features and services in production under the guidance of senior team members.

What you'll be doing

• Design, build, test, and maintain cloud-native platform components and services that support AI/ML and LLM workloads.
• Help implement and operate MLOps and LLMOps capabilities such as model deployment pipelines, monitoring, and operational reliability.
• Build integrations with AWS AI/ML services such as Amazon Sage Maker and Amazon Bedrock, along with model registries, vector data stores, model endpoints, and orchestration tooling.
• Help build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation in collaboration with platform and Dev Ops engineering teams.
• Troubleshoot production issues, analyze system metrics, and support improvements for reliability, latency, and cost.
• Follow engineering standards for code quality, testing, documentation, and Agile delivery.
• Continuously learn evolving AI/ML platform technologies and engineering best practices.

What you bring

• 2 or more years of professional software engineering experience.
• Bachelor's degree or higher in Computer Science, Computer Engineering, or a related technical field.
• Experience building and operating cloud-based applications and services on AWS or similar cloud providers.
• Exposure to Dev Ops practices such as CI/CD pipelines, version control (Git/Git Hub), containers (Docker), and automated deployments.
• Strong analytical, problem-solving, communication, and cross-team collaboration skills.
• Eagerness to learn AI/ML platform engineering and grow under mentorship.

Added bonus if you…