Senior AI Engineer: Generative AI on Databricks

EY; Tucson (AZ); Hybrid; USD 120,000 - 190,000; Full time

Job summary

EY is seeking a Senior AI Engineer to lead development of scalable AI, ML, and agentic solutions on the Databricks platform. You will build data pipelines, deploy models, and collaborate with client teams to deliver high-impact AI solutions across diverse industries.

You will engage with cross-functional teams, advance AI products from discovery through production, and ensure responsible engineering practices while staying ahead of AI trends. Travel may be needed to meet clients.

Qualifications

• Bachelor’s degree in a relevant field.
• 3-6 years of AI/ML experience.
• Databricks Certification with a minimum of 1 professional and 1 associate certification.
• Strong skills in Python, PySpark, and/or Scala.
• Experience designing, building, and maintaining production AI/ML solutions on Databricks.
• Excellent communication and collaboration in diverse, hybrid, global teams.

Responsibilities

• Research and implement scalable machine learning, generative AI, and agentic systems that meet business requirements.
• Build data engineering pipelines, AI solutions on Databricks.
• Evaluate, monitor, and optimize learning processes with MLflow evaluation and tracing.
• Design and govern domain ontologies and semantic models for AI solutions and data products.
• This position may have travel requirements to engage with external clients.

Skills

Python

PySpark

Scala

Databricks

MLOps

Data engineering

AI/ML

NLP

DevOps

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 development of scalable AI, ML, and agentic solutions on the Databricks platform. You will build data pipelines, deploy models, and collaborate with client teams to deliver high-impact AI solutions across diverse industries.

You will engage with cross-functional teams, advance AI products from discovery through production, and ensure responsible engineering practices while staying ahead of AI trends. Travel may be needed to meet clients.