Director, AI/ML Engineering
Core
Lead and scale AI/ML capabilities including agentic AI systems, generative AI applications, and intelligent automation workflows for vehicle pricing, personalized recommendations, and ad-bidding.
Role type
Director, AI/ML Engineering
Builds
Agentic AI systems, generative AI applications, intelligent automation workflows, and core ML models for vehicle pricing and recommendations.
Domain
Automotive retail / Generative AI / Agentic AI
Deliverable
production ML models | product features
Required skills
AI engineering leadership, agentic AI development, generative AI engineering, ML engineering, platform architecture, team mentorship, financial management, cross-functional partnership, responsible AI governance, product engineering culture establishment.
Preferred skills
LLMs experience, agentic AI frameworks, AI automation platforms, ML Ops, lean/agile development, generative AI tools (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI), agentic frameworks (LangChain, AutoGen).
Technologies
LLMs, LangChain, AutoGen, AWS Bedrock, Azure OpenAI, OpenAI, Anthropic
Responsibilities
Establish technology vision and strategy for AI engineering; Define and execute roadmap for Agentic AI systems; Lead adoption of generative AI technologies; Architect and govern AI workflow and automation pipelines; Lead and develop a 40+ member team; Partner with Technology and Product leadership to deliver AI/ML services; Collaborate with data science and leadership to prioritize roadmap; Foster a product engineering culture; Establish responsible AI governance practices; Collaborate with stakeholders on security and privacy requirements; Partner with Reliability Engineering for monitoring controls.
Seniority
Director, hands-on IC with team leadership
