AI & ML Engineering Manager (Databricks & Gen AI)

EY

Wichita (KS)

Hybrid

USD 126,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Medical and dental coverage
Pension/401(k)
Generous paid time off

Job summary

EY is seeking a Manager in Model Engineering to lead cutting-edge AI, data science, and machine learning initiatives on the Databricks platform. You will guide cross-functional teams, collaborate with clients, and deliver scalable AI solutions across diverse data sources while ensuring responsible deployment and strong governance.

You will work in a hybrid model with on-site and remote collaboration, shaping a high-impact AI program and advancing analytics capabilities across EY’s client

Qualifications

  • Bachelor’s degree required.
  • 6–10 years of AI, data science, and/or machine learning experience.
  • 2–4 years of direct technical team management.
  • 3–4 years building/ deploying production AI on Databricks.
  • Databricks Certification preferred.

Responsibilities

  • Lead AI workstreams from design through production deployment on the Databricks platform.
  • Manage multidisciplinary teams delivering AI engineering initiatives with quality and governance.
  • Engage with clients and lead workstreams from planning to execution and closure.
  • Design and govern ontologies, semantic models, and domain knowledge for AI solutions.
  • Apply product-centric development to define user outcomes and measurable adoption.

Skills

Python
PySpark
Scala
Databricks
Team leadership
Product-centric development

Education

Bachelor’s degree
Databricks Certification

Tools

Databricks
Unity Catalog

Job description

EY is seeking a Manager in Model Engineering to lead cutting-edge AI, data science, and machine learning initiatives on the Databricks platform. You will guide cross-functional teams, collaborate with clients, and deliver scalable AI solutions across diverse data sources while ensuring responsible deployment and strong governance.

You will work in a hybrid model with on-site and remote collaboration, shaping a high-impact AI program and advancing analytics capabilities across EY’s client

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