Databricks AI Engineering Leader

EY

Palo Alto (CA)

Hybrid

USD 157,000 - 262,000

Full time

14 days+

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Benefits offered by this job

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

Job summary

EY is seeking a Manager in Model Engineering to lead modern AI engineering initiatives on the Databricks platform. You will collaborate with diverse client teams to deliver scalable AI/ML solutions, data pipelines, and domain ontologies.

The role emphasizes responsible deployment, product-centric development, and cross-functional leadership across a hybrid work model. You will guide multi-disciplinary teams, ensure high-quality deliverables, and maintain strong client relationships while

Qualifications

  • Bachelor’s degree (4-year)
  • 6–10 years AI/Data Science/ML experience
  • 2–4 years of leading technical teams
  • Databricks Certification (1 pro + 1 associate)
  • Strong Python, PySpark, and/or Scala skills
  • Experience with Databricks, MLOps/AgentOps, and CI/CD pipelines

Responsibilities

  • Lead AI workstreams from design to production on Databricks
  • Build data pipelines and AI solutions across teams
  • Improve processes with innovative research and analysis
  • Manage multidisciplinary teams delivering complex AI initiatives
  • Engage with clients and lead workstreams from planning to closure
  • Design and govern ontologies and semantic models for AI solutions
  • Apply product-centric development to deliver reusable capabilities
  • Identify opportunities for additional services and manage engagement economics

Skills

Python
PySpark
Scala
Databricks
Git
Azure DevOps

Education

Bachelor’s degree

Tools

Databricks

Job description

EY is seeking a Manager in Model Engineering to lead modern AI engineering initiatives on the Databricks platform. You will collaborate with diverse client teams to deliver scalable AI/ML solutions, data pipelines, and domain ontologies.

The role emphasizes responsible deployment, product-centric development, and cross-functional leadership across a hybrid work model. You will guide multi-disciplinary teams, ensure high-quality deliverables, and maintain strong client relationships while

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