Lead GenAI Developer

To save time applying Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this positionat this time.

This position is based in Plano TX.

WhoWereLooking For:

At TFSwereembarking on a technology transformation journey creating next generation products and platforms. These products enable TFS to provide a best-in-class experience to ourcustomers and partnersand position us to rapidly scale to realize our vision of mobility for all by enabling freedom of movement for everyone.

We are seeking aLeadGenAIDevelopertodesign and lead cloud-native architectures on AWS that power GenAI applications and LLM-based systems. The Lead GenAI Developer willbuild ingestion pipelines integrate vector databases operate MCP servers and serverless components and drive prompt engineering andproductionLLM usage.

The expectationisas aLeadyou will be hands-on and driving the delivery of critical business initiatives.

Key Responsibilities Include:

• Cloud Architecture & Infrastructure:Design scalable secure AWS architectures (VPCs IAM networking S3 EKS/ECS/Fargate Lambda) and manage infrastructure usingIaC(Terraform/CloudFormation) CI/CD and observability tooling.

• LLM & GenAI Platforms:Lead integration of API-based and self-hosted LLMs implement RAG solutionsoptimizeinference cost/performance and operate MCP servers and model-serving infrastructure.

• Prompting & Evaluation:Develop prompt engineering strategies reusable templates and evaluation frameworks; collaborate with product teams to iterate and improve prompt quality.

• Vector Databases & Retrieval Pipelines:Implement andmaintainvector stores (OpenSearch Pinecone MilvusQdrant) and design efficient similarity search retrieval workflows and indexing strategies.

• Data Ingestion & Processing Pipelines:Build robust ETL/ELT and document ingestion systemsbatch and streamingincluding data transformation cleaning metadata extraction and embedding generation.

• Microservices & Serverless Systems:Develop microservices and serverless components to support low-latency inference asynchronous processing and event-driven architectures.

• Python Development & AI Tooling:Build core backend components in Python leveragingLangChainLlamaIndex Hugging Face and related tooling.

• Security Governance & Cross-Functional Leadership:Enforce data privacysecretsmanagement RBAC and cost governance best practices while collaborating across teams mentoring engineers andmaintainingoperational runbooks.

What You Bring:

• Bachelors Degreeand/or equivalent experience.

• 6 years cloud architecture experience including 3 years building production GenAI/LLM systems on AWS.

• Strong Python and AWSexpertise including Lambda ECS/EKS S3 SageMaker (or similar) plus Docker and Kubernetes.

• Production experience with vector databases and designing ingestion embedding pipelines for both batch and streaming workloads.

• Hands-on with prompt design evaluation LLM orchestration and RAG implementation patterns.

• Experience deploying and operatingmodel- servingor MCP likeserver infrastructure (selfhosted or managed).

• Proficient withIaCand delivery tooling including Terraform/CloudFormationGitOps and CI pipelines.

• Proven skillsin monitoring logging and automated testing for ML infrastructure and services.

• Strongcommunicatorwith clear documentation skills.

Bonus if you have:

• Experience with model-serving infrastructure such as Amazon SageMaker NVIDIA Triton Ray Serve or similar platforms.

• Hands-on experience with GenAI libraries and frameworks includingLangChainLlamaIndex Hugging Face and OpenAI APIs.

• Deep operationalexpertisewith vector databases such as Pinecone MilvusWeaviate orQdrant.

• Knowledge of data governance and regulatory compliance including HIPAA and GDPR considerations.

• AWS Solutions Architect AWS DevOps Engineer or equivalent industry certifications.

WhatWellBring

During your interview process our team can fill you in on all the details of our industry-leading benefits and career development opportunities.

A few highlights include:

• A work environment built on teamwork flexibility and respect.

• Professional growth and development programs to help advance your career as well as tuition reimbursement.

• Team Member Vehicle Purchase Discount.

• Toyota Team Member Lease Vehicle Program (if applicable).

• Comprehensive health care and wellness plans for your entire family.

• Toyota 401(k) Savings Plan featuring a company match as well as an annual retirement contribution from Toyota regardless of whether you contribute.

• Paid holidays and paid time off.

• Referral services related to prenatal services adoption childcare schools and more.

• Tax advantaged accounts (Health Savings Account Health Care FSA Dependent Care FSA).