Senior AI Engineer, Generative AI on Databricks (Remote)

EY; City of Rochester (NY); Remote; USD 106,000 - 200,000; Full time

Job summary

EY is seeking a Senior AI Engineer to lead scalable AI, ML, and agentic solutions on the Databricks platform. You will partner with clients and EY teams to deliver production-grade data pipelines, AI tools, and governance models while advancing responsible AI practices.

You will collaborate with data scientists, engineers, and platform teams across hybrid and remote settings. The role emphasizes client interaction, travel as needed, and continuous learning within a fast‑paced environment.

Qualifications

• Bachelor's degree required for the role.
• 3–6 years of full‑time working experience in AI and/or Machine Learning.
• Databricks Certification with the specified combination of Data Engineer/ML/Generative AI credentials.
• Strong skills in Python, PySpark, and Scala.
• Experience designing, building, and maintaining production AI/ML solutions on Databricks.
• Excellent communication and collaboration across diverse, hybrid, and global teams.

Responsibilities

• Researching and implementing scalable machine learning, 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 ontologies and semantic models for AI solutions.
• Travel with clients as needed to engage with external projects.

Skills

Python

PySpark

Scala

MLOps

LLMOps

AgentOps

Git

Azure DevOps

Databricks

Education

Bachelor's degree

Tools

Databricks CLI

Databricks

Git

Azure DevOps

Job description

EY is seeking a Senior AI Engineer to lead scalable AI, ML, and agentic solutions on the Databricks platform. You will partner with clients and EY teams to deliver production-grade data pipelines, AI tools, and governance models while advancing responsible AI practices.

You will collaborate with data scientists, engineers, and platform teams across hybrid and remote settings. The role emphasizes client interaction, travel as needed, and continuous learning within a fast‑paced environment.