Databricks AI/ML Engineering Lead

EY; Arlington (VA); Remote; USD 126,000 - 262,000; Full time

Job summary

EY is seeking a Manager in Model Engineering to lead AI workstreams and deliver scalable AI solutions on the Databricks platform. You will collaborate with clients and EY teams to design, build, and deploy advanced AI/ML pipelines, ontologies, and knowledge graphs, driving measurable outcomes across complex data environments.

You will guide multidisciplinary teams, ensure responsible deployment, and continuously improve analytics capabilities in a hybrid client-facing environment.

Qualifications

• Bachelor’s degree required (4-year degree).
• 6–10 years of AI, data science, and/or machine learning experience.
• 3–4 years of experience building production AI/ML solutions on the Databricks platform.
• Strong skills in Python, PySpark, and/or Scala.

Responsibilities

• Lead AI workstreams from solution design through production deployment and ongoing optimization, focusing on the Databricks platform.
• Lead 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.

Skills

Databricks

AI engineering

MLOps

Data pipelines

Python

Leadership

Education

Bachelor’s degree

Tools

Databricks

Python

Azure DevOps

Job description

EY is seeking a Manager in Model Engineering to lead AI workstreams and deliver scalable AI solutions on the Databricks platform. You will collaborate with clients and EY teams to design, build, and deploy advanced AI/ML pipelines, ontologies, and knowledge graphs, driving measurable outcomes across complex data environments.

You will guide multidisciplinary teams, ensure responsible deployment, and continuously improve analytics capabilities in a hybrid client-facing environment.