Principal Gen AI Engineer

Toyota Motor Company•Plano, TX

28d

About The Position

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. 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 diverse, talented team members who want to Dream. Do. Grow. with us. 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. Toyota Financial Services is looking for a passionate and highly-motivated Principal/Senior Lead Gen AI Engineer. The primary responsibility of this role is to drive the design of secure, scalable, and modern applications, with a strong emphasis on AI and GenAI-enabling technologies. Reporting to the National Manager, Domain Architecture Leader, this is a senior-level individual contributor role within the Architecture organization, focused on delivering hands-on solution designs and proofs of concept that bring innovative ideas to life. You will work closely with Domain Architects, product teams, and engineers to solve real business problems by developing good scalable GenAI Solutions.

Requirements

10+ years of software engineering and development experience
Proven experience in building and deploying GenAI applications in production.
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
Knowledge of prompt engineering, few-shot learning, and agent-based systems.
Hands-on experience designing and building cloud-native solutions (preferably on AWS)
Experience with modern architecture styles: microservices, APIs, event-driven systems
Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders

Nice To Haves

Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
AWS AI certification
Financial Services experience

Responsibilities

Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
Fine-tune foundation models using domain-specific data.
Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
Monitor and optimize model performance, latency, and cost.
Use techniques like quantization, distillation, and caching to improve efficiency.
Stay ahead of GenAI trends and emerging technologies.
Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).
Ensure compliance with data privacy, security, and regulatory standards.
Evaluate and select appropriate model types (open-source vs proprietary) based on business needs.
Lead hands-on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies
Make informed architectural trade-offs based on business needs, performance, cost, and long-term maintainability
Contribute reusable patterns and documentation that support solution delivery across teams
Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling

Benefits

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)

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