Senior AI/ML Engineering Lead – Power & Utilities

EY; Houston (TX); Remote; USD 126,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Hybrid work model

Flexible vacation policy

Job summary

EY in the United States seeks a Manager in AI Native Engineering to lead data science and big data initiatives for Power & Utilities. You will guide cross‑functional teams delivering scalable AI/ML solutions across cloud and on‑prem environments while interfacing with clients and stakeholders.

The role emphasizes governance, model risk management, and regulatory considerations, with opportunities to influence EY's AI applications for grid reliability, outage prediction, asset management, and

Qualifications

• Bachelor's degree required in a relevant field.
• 6–10 years in AI, data science or ML.
• 2–4 years directly managing technical teams.
• Strong Python and cloud AI/ML experience.
• Experience across production AI/ML on major cloud platforms.

Responsibilities

• Lead workstreams and ensure effective project delivery.
• Identify innovative improvements through research and analysis.
• Manage professionals and supervise teams delivering complex initiatives.
• Engage with clients, run daily sessions, lead planning to closure.
• Identify opportunities for additional services and manage engagement economics.
• Design and deliver AI/ML use cases for Power & Utilities.
• Work with utility data sources and integrate into modern analytics platforms.

Skills

Python

Generative AI

Machine Learning

DevOps tools

Cloud platforms

Data science

Team leadership

Regulated environments

Education

Bachelor's degree

Tools

OpenAI

Langchain

PyTorch

scikit-learn

Jira

Azure DevOps

SQL

Spark

Job description

EY in the United States seeks a Manager in AI Native Engineering to lead data science and big data initiatives for Power & Utilities. You will guide cross‑functional teams delivering scalable AI/ML solutions across cloud and on‑prem environments while interfacing with clients and stakeholders.

The role emphasizes governance, model risk management, and regulatory considerations, with opportunities to influence EY's AI applications for grid reliability, outage prediction, asset management, and