Senior AI Engineer on Databricks for Generative AI

EY; Detroit (MI); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical & dental coverage

401(k) plan

Paid time off

Job summary

EY is seeking a Senior AI Engineer to lead scalable AI/ML solutions on the Databricks platform. You will work with clients and cross-functional teams to design, build, and deploy production-grade AI pipelines, generative AI modules, and agentic systems.

The role emphasizes collaboration, governance, and delivering measurable business outcomes across complex data landscapes. You will engage in research, development, and deployment, ensuring responsible engineering practices, performance

Qualifications

• Bachelor’s degree required (4-year degree).
• 3–6 years of full-time AI/ML experience.
• Databricks Certification with multiple certs including Data Engineer/ML/Generative AI.
• Strong Python, PySpark, and/or Scala skills.
• Experience building production AI/ML solutions on Databricks.
• Excellent collaboration and communication with diverse teams.

Responsibilities

• Researching and implementing scalable machine learning, generative AI, and agentic systems for business needs.
• Building data engineering pipelines and AI solutions on Databricks.
• Evaluating and optimizing learning processes with MLflow and tracing.
• Designing and governing ontologies and semantic models for AI solutions.
• Travel with clients as needed to engage with external clients.

Skills

Python

PySpark

Scala

Team collaboration

Hybrid work experience

Strong communication

Education

Bachelor's degree

Tools

Databricks

MLflow

Unity Catalog

Model Serving

Git

Azure DevOps

Job description

EY is seeking a Senior AI Engineer to lead scalable AI/ML solutions on the Databricks platform. You will work with clients and cross-functional teams to design, build, and deploy production-grade AI pipelines, generative AI modules, and agentic systems.

The role emphasizes collaboration, governance, and delivering measurable business outcomes across complex data landscapes. You will engage in research, development, and deployment, ensuring responsible engineering practices, performance