Databricks AI Engineering Leader

EY

San Diego (CA)

Hybrid

USD 126,000 - 262,000

Full time

14 days+

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Benefits offered by this job

Medical and dental coverage
401(k) plans
Paid time off

Job summary

EY is seeking a Manager in Model Engineering to lead AI workstreams on the Databricks platform, guiding cross-functional teams in delivering scalable data pipelines and AI solutions. The role involves heavy client interaction and a product-centric approach to delivering measurable business value.

You will collaborate with diverse, global teams to design, implement, and govern AI/ML initiatives, ensuring responsible deployment and alignment with client goals while staying current with AI trends.

Qualifications

  • Minimum 6–10 years of relevant experience in AI, Data Science, and/or Machine Learning.
  • 2–4 years of direct experience managing technical teams.
  • Proficient in Python, PySpark, and/or Scala.
  • Experience building/deploying production AI/ML solutions on Databricks.
  • Strong communication and collaboration skills; able to work with diverse, hybrid/global teams.

Responsibilities

  • Lead AI workstreams from design through production deployment on Databricks.
  • Manage multidisciplinary teams delivering data pipelines and AI solutions.
  • Engage actively with clients, guiding projects from planning to execution.
  • Define user outcomes and prioritize reusable AI capabilities.
  • Ensure responsible deployment, quality, and measurable business value.

Skills

Leadership
AI engineering
Databricks
Client engagement
Communication

Education

Bachelor's degree

Tools

Databricks

Job description

EY is seeking a Manager in Model Engineering to lead AI workstreams on the Databricks platform, guiding cross-functional teams in delivering scalable data pipelines and AI solutions. The role involves heavy client interaction and a product-centric approach to delivering measurable business value.

You will collaborate with diverse, global teams to design, implement, and govern AI/ML initiatives, ensuring responsible deployment and alignment with client goals while staying current with AI trends.

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