AI Engineering Lead
Ford Motor7 hours ago
Base Salary
$85k - $192k/yr
Responsibilities
- Identify high-value AI opportunities and translate them into scalable enterprise solutions with product and business stakeholders.
- Define AI visions, roadmaps, success metrics, governance frameworks, and responsible AI practices.
- Architect and oversee copilots, conversational AI, RAG architectures, agentic systems, AI analytics, semantic search, and intelligent automation.
- Build and deploy production-grade AI applications using cloud-native infrastructure, containers, orchestration, scalable services, and API-based deployments.
- Implement AI Engineering, MLOps, and LLMOps practices including testing, monitoring, prompt versioning, governance, and lifecycle management.
- Create reusable AI frameworks, accelerators, shared services, libraries, tooling, and engineering standards.
- Partner with Product, Engineering, Data, and Business teams to embed AI into dashboards, analytics platforms, applications, and workflows.
- Lead and mentor AI engineers, promote knowledge sharing, and support AI communities of practice and centers of excellence.
- Evaluate emerging AI technologies and communicate business cases, adoption metrics, operational improvements, and ROI to stakeholders.
Requirements
- Bachelor’s degree in a related field such as Computer Science, Artificial Intelligence, Data Science, Engineering, or Information Technology, or equivalent.
- Five to eight years of experience delivering enterprise software, analytics, data, or AI solutions.
- At least five years of experience with Python-based development technologies and modern software engineering practices.
- At least three years of experience designing, deploying, and supporting AI/ML or Generative AI solutions in production.
- Experience building and deploying Generative AI, conversational AI, copilot, 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, and strong knowledge of APIs, cloud-native architectures, CI/CD pipelines, and enterprise application development.
- Hands-on experience with Generative AI, RAG, and enterprise AI deployment.
- Preferred qualifications include a related master’s degree, experience managing AI engineering teams, and experience building reusable AI platforms and accelerators.
- Preferred experience includes LangChain, LangGraph, Semantic Kernel, SQL, Spark, Vertex AI, OpenAI, Anthropic, Gemini, vector databases, semantic search, knowledge grounding, Responsible AI, AI governance, MLOps, and LLMOps.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Flexible family care days, paid parental leave, new-parent programs, and subsidized backup childcare.
- 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 additional vacation purchase options.
- Visa sponsorship and relocation assistance are available for this position.
- The position is onsite, as indicated by the listing’s #LI-Onsite designation.
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.