Senior Databricks AI Engineer

PowerPlan, Inc • Atlanta, GA

22h • Hybrid

About The Position

The Senior AI/ML Engineer will modernize and scale the company’s enterprise data and AI platform by designing AI-ready data models, operationalizing ML systems, and enabling natural-language analytics through Databricks Genie or equivalent AI tooling.
This role exists to shift the organization from dashboard-driven analytics to AI-powered decision intelligence at enterprise scale.

Requirements

• 10+ years of experience in Data Analytics, Data Engineering, ML Engineering, or AI Engineering
• Strong hands-on experience with Databricks or Snowflake in production environments
• Expertise in SQL, Python, and distributed data processing (Spark preferred)
• Strong understanding of data modeling for analytics and AI
• Experience building and deploying ML models in real-world systems
• Familiarity with LLMs, GenAI concepts, and AI-assisted analytics
• Experience with ML lifecycle tools (MLflow, Feature Stores, CI/CD for ML)

Nice To Haves

• Direct experience with Databricks Genie or AI-powered BI tools
• Experience with Unity Catalog, Delta Live Tables, or Snowflake governance features
• Exposure to Azure, AWS, or GCP cloud platforms
• Experience working in regulated or enterprise SaaS environments
• Ability to explain complex technical concepts to non-technical stakeholders

Responsibilities

• Modernize and Operationalize the Analytics Data Platform
• Enable AI-Ready Data Modeling & Governance
• Build and Deploy Production-Grade ML Pipelines
• Implement Natural Language AI Analytics (Databricks Genie Enablement)
• Democratize AI Across Business Teams
• Establish Enterprise AI Platform Standards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed