Senior AI Engineer: GenAI & Databricks in Consulting

EY; San Jose (CA); Hybrid; USD 107,000 - 201,000; Full time

Job summary

EY is seeking a Senior AI Engineer to lead design and delivery of scalable AI/ML solutions on the Databricks platform. You will partner with clients and EY teams to build end-to-end data pipelines, apply generative AI, and implement agentic AI in production environments.

You will work in a hybrid model with diverse, cross-functional teams, focusing on responsible, scalable AI delivery and ongoing optimization across client engagements.

Qualifications

• Bachelor's degree in a relevant field or equivalent practical experience.
• 3-6 years of full-time AI/ML experience.
• Databricks Certification or equivalent cloud/platform credentials preferred.
• Proficiency in Python, PySpark, and/or Scala.
• Experience building production AI/ML solutions on cloud platforms.

Responsibilities

• Research and implement scalable ML, generative AI, and agentic systems.
• Build data engineering pipelines and AI solutions on Databricks.
• Evaluate, monitor, and optimize learning processes using MLflow and tracing.
• Design domain ontologies and semantic models for AI solutions.
• Collaborate with data scientists, data engineers, and platform engineers to deliver production-grade AI/ML pipelines.

Skills

Python

PySpark

Scala

Databricks

MLflow

Git

Azure DevOps

MLOps

Distributed systems

Data pipelines

Education

Bachelor's degree

Master's degree (preferred)

Tools

Databricks

Unity Catalog

MLflow

Git

Azure DevOps

Job description

EY is seeking a Senior AI Engineer to lead design and delivery of scalable AI/ML solutions on the Databricks platform. You will partner with clients and EY teams to build end-to-end data pipelines, apply generative AI, and implement agentic AI in production environments.

You will work in a hybrid model with diverse, cross-functional teams, focusing on responsible, scalable AI delivery and ongoing optimization across client engagements.