Ford Motor Company

AI Platform Engineering Manager (Data & Insights)

Ford Motor Company  •  Chennai, IN (Onsite)  •  7 days ago
Expired
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Job Description

At Ford, data and artificial intelligence are the engines powering the company's transformation. This role sits within the Data Platforms Engineering (DPE) organization and is distinct from traditional ML platform roles; rather than training models for the enterprise, this position focuses on operationalizing AI within the data platform itself. The goal is to make enterprise data understandable, discoverable, and usable for every team—from supply chain to marketing—by weaving AI into the fabric of how the workforce interacts with data.

  • Reimagine Data Access: Lead the engineering of AI-powered features, such as intelligent agents and natural language interfaces, that allow users to "talk to their data."
  • Empower Ford Teams: Build systems that transform structured and unstructured data into actionable insights for non-technical users.
  • Technical Leadership: Guide and grow a high-performing engineering team to build scalable, secure, and intelligent platform capabilities.
  • Operationalize Multi-Agent AI: Design collaborative agents that interpret user questions, identify relevant datasets, and generate analysis within a secure environment.
  • Cross-Functional Collaboration: Partner with data governance, metadata, provisioning, and quality teams to deliver seamless AI-enabled experiences aligned with enterprise standards.
  • Responsible Innovation: Ensure all AI solutions are ethical, explainable, and bias-aware while meeting regulatory and privacy requirements.
  • Experience: 10+ years of engineering experience, including 5+ years building data or AI-centric platforms at scale.
  • Technical Expertise: Deep knowledge of large-scale distributed systems, API-driven architectures, and cloud-native platforms (GCP preferred).
  • AI Specialization: Hands-on experience with LLMs, vector databases, orchestration engines, and agent frameworks (e.g., LangChain, Haystack, Semantic Kernel).
  • Leadership: Proven ability to lead engineering teams with a focus on impact, velocity, and quality.
  • Product Mindset: Ability to collaborate with product managers and user researchers to create user-centric features.
  • Enterprise Knowledge: Experience in regulated environments with a strong understanding of security, compliance, and governance.
  • Core Values: A passion for data accessibility, digital equity, and user-centric design.
Ford Motor Company

About Ford Motor Company

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us.

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

Privacy Policy: https://www.ford.com/help/privacy/

Industry
Automotive & Mobility
Company Size
10,000+ employees
Headquarters
Dearborn, Michigan
Year Founded
Unknown
Website
ford.com
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