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
Top Skills:
Data Engineering
Python, Spark, SQL, and data processing frameworks
Agentic AI, RAG
Numbers & Facts
Location
Dearborn, MI
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automotive Engineeringunmatched
Cloud Computingunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Information Retrievalunmatched
MCP - Microsoft Certified Professionalunmatched
Manufacturingunmatched
Metadataunmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Semantic Searchunmatched
Software Agentsunmatched
Structured Dataunmatched
Unstructured Dataunmatched
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