Senior AI Engineer: Generative AI on Databricks

EY; Columbus (OH); On-site; USD 107,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Senior AI Engineer to drive data and AI solutions on the Databricks platform for diverse client engagements. You will develop scalable ML, generative AI, and agentic systems, collaborating with data scientists, engineers, and consultants to deliver production-grade solutions.

The role emphasizes responsible AI and continuous learning within a fast-paced environment. You will work with clients across industries, shaping use cases, roadmaps, and governance models while ensuring

Qualifications

• Bachelor’s degree required (4-year degree).
• 3–6 years of full-time AI/ML experience.
• Databricks Certification with a combination of Data Engineer/ML/Generative AI certifications.
• Strong skills in Python, PySpark, and/or Scala.
• Ability to collaborate and communicate effectively with diverse, hybrid, and global teams.
• Experience designing, building, and maintaining production AI/ML solutions on Databricks.
• Extensive experience with MLOps, DevOps tools, and AI-driven SDLC on Databricks.
• Understanding of Responsible AI practices and data modeling.

Responsibilities

• Researching and implementing scalable ML, generative AI, and agentic systems that meet business requirements.
• Building data engineering pipelines and AI solutions on Databricks.
• Evaluating, monitoring, and optimizing learning processes with MLflow and tracing.
• Designing and governing domain ontologies and semantic models for AI solutions.
• Travel with clients as needed for engagements.

Skills

Python

PySpark

Scala

Databricks

AI/ML

Team collaboration

Education

Bachelor's degree

Tools

Databricks Certification

Git

Azure DevOps

Job description

EY is seeking a Senior AI Engineer to drive data and AI solutions on the Databricks platform for diverse client engagements. You will develop scalable ML, generative AI, and agentic systems, collaborating with data scientists, engineers, and consultants to deliver production-grade solutions.

The role emphasizes responsible AI and continuous learning within a fast-paced environment. You will work with clients across industries, shaping use cases, roadmaps, and governance models while ensuring