Senior AI Engineer, Databricks & Generative AI Solutions

EY; Indianapolis (IN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

EY's AI, Data & Engineering team is building scalable AI solutions on Databricks for client engagements. You will work with cross-disciplinary teams to deliver production-grade AI/ML capabilities, including generative AI and agentic systems, while maintaining data integrity and governance across platforms.

This role focuses on shaping client solutions, researching new techniques, and delivering high-impact results with a strong emphasis on responsible engineering, collaboration, and continuous

Qualifications

• Bachelor's degree in a relevant field; master's preferred.
• 3-6 years’ AI/ML experience.
• Databricks Certification: Data Engineer/ML Engineer.
• Strong Python, PySpark, and Scala skills.

Responsibilities

• Research and implement scalable ML, generative AI, and agentic systems on Databricks.
• Build data pipelines and AI solutions for clients on Databricks.
• Evaluate and optimize learning processes with MLflow and tracing.
• Design and govern ontologies and semantic models for AI solutions.
• Travel to engage with external clients as needed.

Skills

Python

PySpark

Scala

Databricks

MLflow

Generative AI

Education

Bachelor's degree

Master's degree preferred

Tools

Databricks Platform

Unity Catalog

Model Serving

Git/Azure DevOps

Job description

EY's AI, Data & Engineering team is building scalable AI solutions on Databricks for client engagements. You will work with cross-disciplinary teams to deliver production-grade AI/ML capabilities, including generative AI and agentic systems, while maintaining data integrity and governance across platforms.

This role focuses on shaping client solutions, researching new techniques, and delivering high-impact results with a strong emphasis on responsible engineering, collaboration, and continuous