AI Engineering Manager - Databricks & GenAI Solutions

EY; City of Albany (NY); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY invites you to join our AI, Data & Engineering team as a Manager in Model Engineering. You will partner with clients to design, build, and deploy scalable AI solutions on Databricks, leading cross-functional teams across data engineering, ML, and ontology workstreams.

The role blends technical leadership with business impact in a hybrid, nationwide US context. You’ll work closely with Databricks experts to industrialize analytics, deliver measurable outcomes, and ensure responsible

Qualifications

• Bachelor’s degree required (4-year degree).
• 6-10 years of AI, data science, and/or ML experience.
• 3-4 years of experience directly managing technical teams.
• 3-4 years building/ deploying production AI/ML solutions on the Databricks platform, including use of Agent Bricks, Model Serving, or Lakeflow Jobs.
• Strong skills in Python, PySpark, and/or Scala.

Responsibilities

• Leading AI workstreams from solution design through production deployment and ongoing optimization, focusing on the Databricks platform.
• Leading teams building data engineering pipelines, AI solutions (machine learning, generative AI, and agentic AI), and the pipelines that support AI solutions on Databricks.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsible deployment, and results.
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
• Designing, building, and governing domain ontologies and semantic models that define business concepts, relationships, and rules for AI solutions, knowledge graphs, and enterprise data products.
• Applying a product-centric development approach by partnering with product, business, data science, and engineering stakeholders to define user needs, prioritize reusable capabilities, and iteratively deliver measurable outcomes across the product lifecycle.
• Identifying opportunities for additional services and managing engagement economics.

Tools

Databricks

Unity Catalog

MLflow

Git

Azure DevOps

Python

PySpark

Scala

Job description

EY invites you to join our AI, Data & Engineering team as a Manager in Model Engineering. You will partner with clients to design, build, and deploy scalable AI solutions on Databricks, leading cross-functional teams across data engineering, ML, and ontology workstreams.

The role blends technical leadership with business impact in a hybrid, nationwide US context. You’ll work closely with Databricks experts to industrialize analytics, deliver measurable outcomes, and ensure responsible