Lead AI/ML Platform Engineer

Location: Plano, Texas. Must have the right to work in the United States and must not require Toyota immigration support or visa sponsorship now or in the future.

Company

hirify.global, including Toyota Financial Services, develops mobility, finance, and insurance solutions across North America.

What you will do

• Design and implement cloud-native infrastructure for enterprise AI/ML and GenAI workloads.
• Build and evolve MLOps and LLMOps capabilities covering model training, versioning, deployment, monitoring, and rollback.
• Create GPU-accelerated compute environments and optimize model serving, inference scaling, latency, and cost efficiency.
• Standardize infrastructure patterns for vector databases, model registries, orchestration frameworks, and RAG pipelines.
• Design secure, multi-tenant AI environments with access controls, auditability, governance, observability, and operational resilience.
• Own technical direction, lead design reviews, establish engineering standards, and mentor engineers in collaboration with architecture, engineering, data, and cybersecurity teams.

Requirements

• 10+ years of software engineering experience focused on cloud infrastructure or cloud platform engineering.
• 3+ years building cloud infrastructure for AI/ML workloads, including training, tuning, and inference.
• Hands-on experience with AWS and infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.
• Production experience with Kubernetes, containers, and CI/CD pipelines.
• Strong understanding of GPU infrastructure, serverless compute, scalable microservices, model hosting, inference scaling, and observability tools.
• Must be authorized to work in the United States without current or future Toyota sponsorship.

Nice to have

• Experience with AWS AI/ML services such as SageMaker or Bedrock.
• Familiarity with LLMOps, LangChain, GenAI infrastructure, and RAG pipelines.
• Experience with vector databases, model registries, MLflow, Airflow, or Ray.
• Knowledge of prompt management, token optimization, and model performance tuning.
• AWS Solutions Architect Professional or Machine Learning certification.

Culture & Benefits

• Team-oriented, flexible, and respectful work environment.
• Professional development programs and tuition reimbursement.
• Comprehensive healthcare and wellness plans, including family coverage.
• Toyota 401(k) plan with company matching and an annual retirement contribution, where applicable.
• Paid holidays, paid time off, tax-advantaged accounts, family support services, and relocation assistance where applicable.