AI/ML Engineering Lead, Power & Utilities – Hybrid

EY; Nashville (TN); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation package

Flexible vacation policy

Job summary

EY in the United States is seeking a Manager in AI Native Engineering to lead data science and big data initiatives for Power & Utilities clients. You will design scalable AI/ML solutions, mentor diverse teams, and collaborate with clients to translate analytic outcomes into business insights.

This role requires strong Python, cloud experience, and hands-on delivery across regulated environments. EY offers a hybrid work model, a competitive compensation range, and opportunities to grow within a

Qualifications

• Bachelor's degree required; Master's preferred.
• 6–10 years in AI/Data Science/ML with leadership experience.
• 2–4 years directly managing technical teams.
• Strong Python and cloud platform experience.
• Proficiency in Generative AI models and ML packages.
• Experience with NLP, deep learning, and DevOps/Jira.
• Experience delivering production AI/ML in regulated environments.

Responsibilities

• Lead workstreams and manage complex technical initiatives.
• Guide teams, develop scalable AI/ML use cases for utilities.
• Translate analytics outputs into business insights for executives.
• Collaborate with clients and internal teams across global sites.
• Ensure governance, security, and compliance in AI solutions.
• Drive adoption of AI/ML solutions from pilots to production.

Skills

Python

Generative AI

AI/ML

Cloud platforms

NLP

Deep learning

Data science

Leadership

Communication

Travel

Education

Bachelor's degree

Master's degree

Tools

GIT

Azure DevOps

Jira

CI/CD pipelines

OpenAI

DALL-E

LangChain

RAG

Job description

EY in the United States is seeking a Manager in AI Native Engineering to lead data science and big data initiatives for Power & Utilities clients. You will design scalable AI/ML solutions, mentor diverse teams, and collaborate with clients to translate analytic outcomes into business insights.

This role requires strong Python, cloud experience, and hands-on delivery across regulated environments. EY offers a hybrid work model, a competitive compensation range, and opportunities to grow within a