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AI & Machine Learning Engineering Consultant - Power & Utilities - Manager - Consulting

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: EY
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting

Location:

Anywhere in Country

Overview

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. You will sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. You will need a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients.

You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Within Power & Utilities engagements, these solutions commonly support regulated environments such as electric, gas, and water utilities, addressing domains including grid and asset reliability, outage prediction and response, capital planning, customer operations, regulatory reporting, and operational efficiency across generation, transmission, distribution, and field operations.

Key Responsibilities
  • Leading workstream delivery and ensuring effective management of processes and projects.
  • Continuously improving processes by identifying innovative solutions through research and analysis.
  • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
  • Engaging actively with clients, participating in daily working sessions, and leading work streams from planning through execution to closure.
  • Identifying opportunities for additional services and managing engagement economics.
  • Designing and delivering AI/ML use cases relevant to Power & Utilities, such as asset health and failure prediction, outage detection and restoration optimization, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimization, and regulatory analytics.
  • Working with utility data sources including SCADA, AMI/AMI 2.0, GIS, EAM (e.g., Maximo), OMS, CIS, and historian systems, and integrating these into modern analytics platforms.
  • Supporting utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.
Skills and Attributes for Success
  • Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
  • Strong judgment in selecting methods and techniques for obtaining results.
  • Experience in managing client relationships and delivering high‑quality service.
  • Ability to lead teams effectively and manage change within the organization.
  • Ability to translate AI and analytics outputs into business‑relevant insights for utility executives, regulators, and operational leaders.
  • Comfort operating in highly regulated environments with strong governance, documentation, explainability, and model risk management expectations.
To qualify for the role
  • A Bachelor’s degree required (4‑year degree).
  • 6‑10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
  • 2‑4 years of experience directly managing technical teams.
  • Strong skills in Python.
  • Ability to lead, collaborate, and communicate effectively with diverse, hybrid, and global teams.
  • Experience designing, building, and maintaining…
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