As an AI Data Foundation Engineer in the Supply Chain AI and Decision Intelligence space, you will be the driving force for delivering Ford's "AI-First" supply chain transformation. This role is focused on engineering the intelligent data backbone , the pipelines, knowledge graphs, and AI-ready data platforms that fuel high-performance models (internal or external, e.g., from COTS products) and continuously enrich Enterprise Knowledge Graphs to solve complex supply chain problems. Central to this role is the adoption of an AI-Native Data Engineering SDLC, leveraging agentic workflows, AI-assisted coding, and automated testing to deliver robust, high-quality, model-ready data at industrial speed. You will bridge the gap between raw, fragmented enterprise data and the trusted, governed, AI-ready data foundation that powers supply chain AI/ML systems, decision-intelligence engines, and Generative AI applications. This role demands a blend of technical expertise in data engineering, AI/ML data enablement, and platform architecture, functional expertise in supply chain,



and solid technical leadership to influence stakeholders and deliver transformative results with a particular focus on establishing and standardizing the AI-centric data engineering SDLC and data quality frameworks across cross-functional teams. You aren't just moving data ,you are engineering the intelligence layer beneath a global supply chain, building the foundation of trust and reliability that allows AI to manage risk, build resilience, and keep factories running.

Responsibilities
- Data Requirement Gathering: Partner with supply chain functional leads , Internal Data Platform teams and AI/ML engineers to elicit and document data requirements and translate them into scalable pipeline and schema designs, ensuring every dataset delivers measurable business value.
- Pipeline & Platform Engineering:Act as the primary technical lead for data foundation engineering. design, build, and maintain ingestion

📌 AI Data Foundation Engineer (India)
🏢 Ford Global
📍 India