AI Engineering Lead
Ford Motor19 hours ago
Base Salary
$85k - $192k/yr
Responsibilities
- Partner with business leaders and product teams to identify high-value AI opportunities and define solution roadmaps, success metrics, and business cases.
- Architect and oversee conversational AI, copilots, RAG, agentic AI, semantic search, AI analytics, and intelligent automation solutions.
- Build and deploy scalable, production-grade AI applications, reusable frameworks, accelerators, shared services, and engineering patterns.
- Implement MLOps and LLMOps practices covering testing, prompt versioning, governance, monitoring, lifecycle management, and operational reliability.
- Lead end-to-end AI solution delivery across Product, Engineering, Data, Analytics, and Business teams.
- Establish responsible AI, security, privacy, compliance, explainability, and enterprise governance practices.
- Monitor AI performance, solution effectiveness, reliability, governance, adoption, operational efficiency, and business impact.
- Lead and mentor AI engineers and promote engineering standards, knowledge sharing, and AI communities of practice.
- Evaluate emerging AI technologies and serve as a thought leader for enterprise AI adoption and transformation.
Requirements
- Bachelor’s degree in a related field such as Computer Science, Artificial Intelligence, Data Science, Engineering, or Information Technology, or equivalent.
- 5–8 years of experience delivering enterprise software, analytics, data, or AI solutions.
- 5+ years of experience with Python-based development technologies and modern software engineering practices.
- 3+ years of experience designing, deploying, and supporting AI/ML or generative AI solutions in production.
- Experience building and deploying generative AI, conversational AI, copilots, or agent-based solutions.
- Experience serving as a senior technical lead and facilitating architectural decisions and solution trade-offs.
- Experience with cloud AI platforms, preferably Google Cloud Platform.
- Strong understanding of APIs, cloud-native architectures, CI/CD pipelines, and enterprise application development.
- Hands-on experience with generative AI, RAG, and enterprise AI deployment.
- Preferred: master’s degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or a related field.
- Preferred: experience managing and growing high-performing AI engineering teams.
- Preferred: experience with RAG architectures, vector databases, semantic search, knowledge grounding, reusable AI platforms, MLOps, LLMOps, and responsible AI governance.
- Preferred: knowledge of Python, LangChain, LangGraph, Semantic Kernel, SQL, Spark, Vertex AI, OpenAI, Anthropic, Gemini, or comparable enterprise AI ecosystems.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Flexible family care days, paid parental leave, new-parent ramp-up programs, and subsidized backup child care.
- Family-building benefits including adoption and surrogacy reimbursement and fertility treatments.
- Vehicle discount program for employees and family members and management leases.
- Tuition assistance and established employee resource groups.
- Paid time off for community service, paid holidays including the week between Christmas and New Year’s Day, and optional additional vacation purchase.
- Relocation assistance is provided.
- The position is onsite.
- Visa sponsorship is available for this position.
Tech Stack
Categories
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.