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Azure Databricks & Agentic AI Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: CIS Technologies Inc.
Full Time position
Listed on 2026-10-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

Title:
Azure Databricks & Agentic AI Architect

Location:
Remote

Job Description

We are looking for a highly experienced Azure Databricks & Agentic AI Architect to design and lead next-generation AI-powered data platforms. The ideal candidate will have 15 years of Data & Analytics experience, strong Azure Databricks/Lakehouse expertise, and hands-on experience with Generative AI, Agentic AI, and AI-driven Data Engineering.

Key Responsibilities

Design enterprise-scale Azure Databricks Lakehouse platforms using Delta Lake, Unity Catalog, ADLS Gen2, Databricks Workflows, and Delta Live Tables.

Lead the implementation of Agentic AI for autonomous data ingestion, mapping, transformation, data quality, metadata enrichment, lineage, testing, and pipeline optimization.

Design AI-driven Data Development Lifecycle (AI-DLC) solutions covering requirements, data modeling, code generation, testing, documentation, deployment, and monitoring.

Architect RAG-based GenAI solutions using enterprise data.

Design AI agent orchestration using Azure OpenAI, Lang Graph, Lang Chain, Semantic Kernel, Auto Gen, and MCP.

Build domain-specific AI agents for Data Engineering and Analytics teams.

Design self-healing data pipelines and AI-driven incident triage, failure prediction, SLA monitoring, capacity planning, and cost optimization.

Establish Human-in-the-Loop (HITL) frameworks and governance for autonomous AI agents.

Define enterprise AI governance covering security, observability, auditability, prompt governance, cost monitoring, and responsible AI.

Mentor architects, data engineers, and AI engineers.

Lead enterprise architecture discussions and communicate AI strategy and business value to senior/CXO stakeholders.

Required Skills

15 years of Data & Analytics experience, Strong hands-on Azure Databricks, Lakehouse Architecture, Delta Lake & Unity Catalog, ADLS Gen2, Azure Data Factory, PySpark, Spark SQL, Python & SQL, Azure OpenAI, Generative AI & Agentic AI, RAG Architecture, Lang Chain / Lang Graph, MCP Protocol, AI Agent Orchestration, Vector Databases / Knowledge Graphs, Azure Dev Ops & CI/CD

MLOps / LLMOps, AI Testing & Evaluation Frameworks

Preferred Skills

Databricks Certified Data Engineer Professional, Databricks Certified Solution Architect, Azure Solutions Architect Expert (AZ-305), Azure Data Engineer (DP-203)

Azure OpenAI / Generative AI certifications, Experience leading enterprise AI transformation initiatives, Strong executive and client-facing communication skills

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