_{04th May, 2026}

About the job:
Start date: Immediate
Position Type: Full Time
Location: Ahmedabad or Pune
Job Description: Databricks AI / GenAI Enterprise Architect

Role Overview

We are looking for a Databricks AI Architect to define and lead enterprise AI architecture on the lakehouse. This role will shape how organizations unify data, analytics, and AI to build scalable, governed, and outcome-driven AI systems.

Key Responsibilities

• Architect end-to-end AI systems on Databricks combining data engineering, ML, and GenAI
• Define reference architectures for RAG using Delta Lake, vector search, and enterprise data assets
• Design agentic AI systems that leverage data pipelines, SQL engines, and LLM integrations
• Establish governance frameworks using Unity Catalog (data lineage, access control, compliance)
• Define best practices for model lifecycle management using MLflow.
• Align AI architecture with enterprise data strategy and lakehouse adoption.
• Drive platform thinking—building reusable AI services and accelerators on Databricks.
• Optimize for performance, scalability, and cost across large-scale data + AI workloads.

Required Skills & Experience

• 4 to 8 years of deep expertise in Databricks ecosystem (Spark, Delta Lake, MLflow, Unity Catalog)
• Strong understanding of data architecture, data governance, and lakehouse principles
• Experience integrating LLMs with enterprise data platforms
• Proven ability to design large-scale, distributed data and AI systems
• Strong business and stakeholder alignment skills

Preferred Qualifications

• Experience with Mosaic AI and Databricks-native GenAI capabilities
• Background in building enterprise data platforms or AI platforms
• Familiarity with multi-cloud data + AI architectures

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