AI Engineer: Scalable ML & Generative AI on Databricks

EY; Chantilly (VA); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking a Senior AI Engineer to lead scalable AI/ML and generative AI work on Databricks. You will partner with clients and EY teams to deliver production-grade AI pipelines, models and agentic systems, while advancing data engineering and semantic modeling capabilities in a fast-paced environment.

You will collaborate across data scientists, engineers, and platforms, applying responsible AI practices, and supporting hybrid and on-site workloads with global teams.

Qualifications

• Bachelor’s degree required (4-year).
• 3–6 years of full-time AI/ML experience.
• Databricks Certification (1+ professional, 1+ associate) preferred.
• Strong Python, PySpark and/or Scala skills.
• Collaborative with diverse, hybrid and global teams.
• Experience building production-grade AI/ML on Databricks.
• Experience with Agent Bricks, Model Serving or Lakeflow Jobs.
• Familiarity with MLflow, Unity Catalog and observability tooling.

Responsibilities

• Research, design and deliver scalable ML, generative AI and agentic AI on Databricks.
• Build data pipelines and AI solutions for client production use.
• Monitor and optimize learning processes with MLflow tracing.
• Define ontologies and semantic models for AI solutions.
• Collaborate with data scientists, engineers and DevOps across client engagements.

Skills

Python

PySpark

Scala

Databricks

ML engineering

Gen AI

Education

Bachelor’s degree

Databricks Certification

Tools

Git

Azure DevOps

MLflow

Unity Catalog

Databricks

Job description

EY is seeking a Senior AI Engineer to lead scalable AI/ML and generative AI work on Databricks. You will partner with clients and EY teams to deliver production-grade AI pipelines, models and agentic systems, while advancing data engineering and semantic modeling capabilities in a fast-paced environment.

You will collaborate across data scientists, engineers, and platforms, applying responsible AI practices, and supporting hybrid and on-site workloads with global teams.