AI & ML Engineering Manager (Databricks)

EY; Dallas (TX); Hybrid; USD 126,000 - 251,000; Full time

Job summary

EY, Anywhere in the United States, invites a Manager in Model Engineering to lead modern AI, data science, and generative AI initiatives. You’ll work with diverse clients and EY teams to design scalable, production‑ready solutions on Databricks and to advance responsible AI practices.

You’ll guide AI workstreams from design through deployment, build data pipelines and semantic models, and collaborate with data scientists, data engineers, cloud engineers, and DevOps.

Qualifications

• Bachelor’s degree required (4-year degree).
• 6–10 years of AI/Data Science/ML experience.
• 3–4 years leading production AI/ML solutions on Databricks.
• Databricks Certification (1 professional + 1 associate).
• Strong Python, PySpark, or Scala skills.
• Excellent communication and willingness to travel.

Responsibilities

• Lead AI workstreams from design to production on the Databricks platform.
• Build data pipelines and AI solutions (ML, generative AI, agentic AI) on Databricks.
• Collaborate with Data Scientists, Data Engineers, Cloud Engineers, and Platform Engineers.
• Ensure responsible deployment, governance, and measurable business value.
• Engage with clients and lead workstreams from planning through execution to closure.
• Design ontologies and semantic models for AI solutions and enterprise data products.

Skills

Python

PySpark

Scala

DevOps

Communication

Team leadership

Education

Bachelor's degree

Databricks Certification

Tools

Databricks

Azure DevOps

Git

Unity Catalog

Job description

EY, Anywhere in the United States, invites a Manager in Model Engineering to lead modern AI, data science, and generative AI initiatives. You’ll work with diverse clients and EY teams to design scalable, production‑ready solutions on Databricks and to advance responsible AI practices.

You’ll guide AI workstreams from design through deployment, build data pipelines and semantic models, and collaborate with data scientists, data engineers, cloud engineers, and DevOps.