Senior AI/ML Engineer for Power & Utilities

EY

Olympia (WA)

Remote

USD 126,000 - 262,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Medical & Dental coverage
401(k) & Pension

Job summary

EY’s AI Native Engineering team seeks a Manager to lead AI/ML initiatives for Power & Utilities clients across the US. You will design scalable data science solutions, collaborate with client teams, and translate insights into business value.

You will mentor colleagues, manage delivery across workstreams, and help move AI solutions from pilots to production while navigating regulatory, cybersecurity, and data governance expectations.

Qualifications

  • Bachelor’s degree required (4-year) in a related field or equivalent experience.
  • 6–10 years of full-time experience in AI, Data Science, and/or ML.
  • 2–4 years of direct people management experience.
  • Strong Python and cloud platform experience; knowledge of DevOps/CI‑CD practices.

Responsibilities

  • Lead workstreams and ensure effective program delivery.
  • Identify innovative solutions through research and analysis; improve processes.
  • Manage teams and supervise complex technical initiatives with accountability for results.
  • Engage with clients, lead sessions, and drive work from planning to closure.
  • Identify opportunities for additional services and manage engagement economics.
  • Design and deliver AI/ML use cases for Power & Utilities; integrate data sources.

Skills

Python
DevOps
Machine Learning
Data Science

Education

Bachelor's degree or higher

Tools

OpenAI tools
PyTorch
Azure/AWS
SQL
Spark

Job description

EY’s AI Native Engineering team seeks a Manager to lead AI/ML initiatives for Power & Utilities clients across the US. You will design scalable data science solutions, collaborate with client teams, and translate insights into business value.

You will mentor colleagues, manage delivery across workstreams, and help move AI solutions from pilots to production while navigating regulatory, cybersecurity, and data governance expectations.

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