Lead AI/ML Engineer — Power & Utilities

EY; Austin (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation and benefits

Paid time off and holidays

Job summary

EY is seeking a Manager in AI Native Engineering to deliver innovative AI/ML solutions for Power & Utilities, collaborating with diverse teams and client groups. You will lead data science initiatives, drive scalable analytics, and mentor engineers across cloud and on‑prem environments.

The role emphasizes governance, regulatory alignment, and delivering impact across grid, outage, and asset management use cases, with a hybrid client-facing work model in the US.

Qualifications

• 6–10 years of relevant experience in AI, Data Science, and/or Machine Learning.
• 2–4 years of experience directly managing technical teams.
• Strong skills in Python.
• Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.

Responsibilities

• Lead workstreams from planning through execution to closure.
• Design and deliver AI/ML use cases for utilities.
• Engage with clients and translate requirements into scalable solutions.
• Ensure regulatory, audit, cybersecurity, and data governance requirements are met.

Skills

Python

Generative AI

ML frameworks

DevOps

Education

Bachelor's degree

Tools

OpenAI

LangChain

PyTorch

Azure DevOps

Git

SQL

Spark

Job description

EY is seeking a Manager in AI Native Engineering to deliver innovative AI/ML solutions for Power & Utilities, collaborating with diverse teams and client groups. You will lead data science initiatives, drive scalable analytics, and mentor engineers across cloud and on‑prem environments.

The role emphasizes governance, regulatory alignment, and delivering impact across grid, outage, and asset management use cases, with a hybrid client-facing work model in the US.