Senior AI Engineer – Databricks & Generative AI

EY; Dallas (TX); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension/401(k)

Paid time off

Job summary

EY in the United States is seeking a Senior AI Engineer to lead scalable AI, ML, and generative AI solutions on the Databricks platform. You will partner with clients and cross-functional teams to design data pipelines, implement production AI, and deliver measurable business outcomes.

The role demands strong Python/PySpark/Scala skills, Databricks expertise, and a track record building production AI. You will work in a hybrid setting with travel to engage clients as needed, contributing to the

Qualifications

• Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning.
• Databricks Certification with a minimum of 1 professional and 1 associate certification.

Responsibilities

• Researching and implementing scalable ML, generative AI, and agentic systems.
• Building data engineering pipelines and AI solutions on Databricks.
• Evaluating, monitoring, and optimizing learning processes with MLflow and tracing.
• Designing and governing domain ontologies and semantic models for AI solutions.
• Travel with external clients as needed.

Skills

Python

PySpark

Scala

Databricks

MLOps

AI

DevOps

SQL

Education

Bachelor's degree

Tools

Databricks

MLflow

Git

Azure DevOps

Job description

EY in the United States is seeking a Senior AI Engineer to lead scalable AI, ML, and generative AI solutions on the Databricks platform. You will partner with clients and cross-functional teams to design data pipelines, implement production AI, and deliver measurable business outcomes.

The role demands strong Python/PySpark/Scala skills, Databricks expertise, and a track record building production AI. You will work in a hybrid setting with travel to engage clients as needed, contributing to the