Senior AI Engineer — Databricks & Generative AI

EY; Stamford (CT); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plans

Paid time off options

Job summary

EY is seeking a Senior AI Engineer to lead scalable AI/ML and agentic solutions on Databricks, delivering production‑grade data pipelines and models for clients. You will collaborate with interdisciplinary teams, drive continuous improvement, and navigate a hybrid on‑site/remote work model.

The role emphasizes cutting‑edge AI, MLOps, and governance, with travel to engage with external clients as needed and a focus on delivering tangible business outcomes on Databricks.

Qualifications

• Bachelor’s degree required (4-year).
• 3–6 years of AI/ML experience with production deployments.
• Databricks Certification with professional/associate credentials.
• Strong Python, PySpark, and/or Scala skills.
• Experience building and deploying production AI/ML solutions on Databricks.

Responsibilities

• Research, build, and deploy scalable AI/ML and agentic systems on Databricks.
• Develop production‑grade data pipelines and AI solutions for clients.
• Monitor, evaluate, and optimize learning processes and models.
• Collaborate with cross‑functional teams in a hybrid environment.
• Deliver high‑quality client services within time and budget.

Skills

Python, PySpark, Scala

Databricks

Productivity in hybrid teams

Strong communication

Experience with AI/ML production

ModelOps / MLOps concepts

Team collaboration across diverse,hybr

Education

Bachelor’s degree

Databricks Certification

Tools

Databricks platform

MLflow

Job description

EY is seeking a Senior AI Engineer to lead scalable AI/ML and agentic solutions on Databricks, delivering production‑grade data pipelines and models for clients. You will collaborate with interdisciplinary teams, drive continuous improvement, and navigate a hybrid on‑site/remote work model.

The role emphasizes cutting‑edge AI, MLOps, and governance, with travel to engage with external clients as needed and a focus on delivering tangible business outcomes on Databricks.