Agentic AI Architect with Azure Databricks
esolutionsChicago, IL
Agentic AI Architect with Azure Databricks
esolutionsChicago, ILLead L6
APPLY NOW (opens in a new tab)Agentic Ai Architect With Azure Databricks JdTop 5 must-have areas: Azure Databricks / Lakehouse Strong Data Engineering + PySpark/SQLAgentic AI / AI AgentsGenAI, RAG, Azure OpenAI, LangGraph/MCPEnterprise architecture & technical leadership
Experience: 1620 years; ideal profile has 15+ years in Data & Analytics.
Location:
Chicago, IL Hybrid, 3 days/week in office.
Core requirement: Strong Azure + Databricks + Data Engineering + Agentic AI experience.
Data Platform: Azure Databricks, Delta Lake, Unity Catalog, ADLS Gen2, ADF, Databricks Workflows/DLT.Data Engineering: PySpark, Spark SQL, Python, SQL, ETL/ELT modernization.
Agentic AI: AI Agents for ingestion, mapping, schema evolution, data quality, pipeline optimization, RCA, governance, and self-healing.
GenAI: Azure OpenAI, RAG, LangChain, LangGraph, Semantic Kernel, AutoGen, MCP, Vector DBs.
AI-DLC:
AI-assisted requirements, data modeling, code/pipeline generation, testing, code review, documentation, deployment, and monitoring.
Governance: Responsible AI, guardrails, security, auditability, observability, cost monitoring, explainability, and HITL.DevOps/MLOps: Azure DevOps, GitHub Actions, CI/CD, MLOps, LLMOps, AI evaluation/testing.
Leadership: Enterprise architecture, reusable AI agents/accelerators, mentoring teams, and CXO-level AI strategy/ROI discussions.
Certifications:
Databricks, Azure Solution Architect/Data Engineer, Azure OpenAI, GenAI/Agentic AI certifications are preferred.
Education:
BE/ME/BTech/MTech/BSc/MSc or equivalent engineering/science degree. Key success expectation: Drive 3050% improvement in Data Engineering productivity through Agentic AI.
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Level
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Location
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Posted
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