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Senior Data Engineer (Agentic AI / RAG Platform) - Onsite - FORD- Locals Only

MeganSoftDearborn, MI🇺🇸United StatesPosted 31 Aug 2026

Why This Role Stands Out

You'll have the opportunity to shape cutting-edge AI data platforms, working with advanced technologies like RAG and intelligent agents, which is perfect for experienced data engineers passionate about building foundational AI solutions. Your expertise in Python, Spark, SQL, and vector databases will be instrumental in this impactful role, contributing to significant advancements within a reputable organization.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Dearborn, MI, United States
Posted
Yesterday
SQLAzurePython

Job Description

Senior Data Engineer (Agentic AI / RAG Platform) - Onsite

Experience: 10-15 Years
Location: Onsite

Job Summary

We are looking for a Senior Data Engineer to build advanced AI-ready data platforms, integrating new data sources into VESSEL, enabling vectorization, and creating data foundations for Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent agents.

Key Responsibilities

  • Integrate structured and unstructured data sources into VESSEL.
  • Design and implement data ingestion pipelines.
  • Create vectorized data repositories for AI applications.
  • Develop semantic search and knowledge retrieval frameworks.
  • Build data services supporting AI agents and prompt engineering.
  • Design scalable cloud-native data platforms.
  • Optimize data quality, governance, and performance.

Required Skills

  • 10+ years of experience in Data Engineering.
  • Strong expertise in Python, Spark, SQL, and data processing frameworks.
  • Experience building cloud-native data pipelines.
  • Deep understanding of vector databases and embeddings.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Knowledge of Agentic AI architectures.
  • Experience designing metadata-driven data solutions.

Preferred Skills

  • Experience with Azure OpenAI, Vertex AI, LangChain, or similar frameworks.
  • Knowledge of MCP (Model Context Protocol).
  • Automotive, engineering, or manufacturing data experience

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