Senior AI Engineer (Databricks & Generative AI)

EY

Baltimore (MD)

Hybrid

USD 107,000 - 193,000

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
Inclusive culture and professional成长

Job summary

EY is seeking a Senior AI Engineer to drive scalable AI/ML solutions on Databricks for diverse clients. You will engineer data pipelines, generative AI, and agentic systems, while ensuring governance and quality across projects.

Expect heavy client interaction and collaboration with cross-functional teams worldwide. You will apply strong Python/Scala skills, leverage MLflow and Unity Catalog, and contribute to production-grade AI platforms with a focus on responsible engineering and measurable

Qualifications

  • Bachelor's degree required; Master’s preferred.
  • 3–6 years of AI/ML experience with production systems.
  • Databricks platform experience and related tools (MLflow, Unity Catalog).
  • Strong Python, PySpark, and/or Scala skills.
  • Excellent communication and collaboration across diverse teams.
  • Willingness to travel for client engagements.

Responsibilities

  • Research, design and implement scalable ML, generative AI, and agentic systems.
  • Build data pipelines and AI solutions on Databricks for clients.
  • Monitor and optimize learning processes and model performance.
  • Develop governance models, ontologies, and semantic data products.
  • Collaborate with cross-functional teams in a hybrid work model for client delivery.

Skills

Communication skills
Collaboration
Hybrid work adaptability

Education

Bachelor's degree
Master's degree preferred

Tools

Databricks
MLflow
Unity Catalog
Model Serving
Agent Bricks
Git / Azure DevOps

Job description

EY is seeking a Senior AI Engineer to drive scalable AI/ML solutions on Databricks for diverse clients. You will engineer data pipelines, generative AI, and agentic systems, while ensuring governance and quality across projects.

Expect heavy client interaction and collaboration with cross-functional teams worldwide. You will apply strong Python/Scala skills, leverage MLflow and Unity Catalog, and contribute to production-grade AI platforms with a focus on responsible engineering and measurable

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