AI/ML Engineering Lead – Power & Utilities (Remote)

EY; Des Moines (IA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Competitive compensation and benefits

Job summary

EY is seeking a Manager in AI Native Engineering to lead delivery of advanced data science and AI/ML solutions for Power & Utilities clients. You will guide teams across data engineering, analytics, and software engineering to translate regulated utility priorities into scalable AI-enabled outcomes.

You will collaborate with clients and EY colleagues to industrialize analytics, meet governance and risk requirements, and drive impact across grid, asset, and operations use cases.

Qualifications

• Bachelor’s degree required (4-year degree).
• 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.
• Ability to lead, collaborate, and communicate effectively with diverse, hybrid and global teams.
• Experience designing, building, and maintaining high‑impact production AI/ML solutions on a major cloud platform.
• Proficient in Generative AI models and frameworks (OpenAI, Dall‑e, Langchain, RAG) and ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytics solutions.
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model monitoring and reporting.
• Understanding of data structures, data modelling and software engineering best practices.
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
• Digital fluency and emotional agility.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.
• Experience delivering analytics or AI solutions in asset‑intensive environments (utilities, energy, infrastructure, manufacturing, or transportation) is strongly preferred.
• Familiarity with utility regulatory, compliance, or operational data considerations is a plus.

Responsibilities

• Leading workstream delivery and ensuring the 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 workstreams 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

Python

OpenAI

DALL‑E

Langchain

Retrieval Augmented Generation

scikit‑learn

PyTorch

SQL

Pandas

Spark

GIT

Azure DevOps

Jira

CI/CD

Data modelling

Mathematics

Education

Bachelor’s degree in a relevant field

Master’s degree (ideally in Computer Science, Math or related field)

Tools

Git

Azure DevOps

Jira

CI/CD pipelines

Maximo

SCADA

Job description

EY is seeking a Manager in AI Native Engineering to lead delivery of advanced data science and AI/ML solutions for Power & Utilities clients. You will guide teams across data engineering, analytics, and software engineering to translate regulated utility priorities into scalable AI-enabled outcomes.

You will collaborate with clients and EY colleagues to industrialize analytics, meet governance and risk requirements, and drive impact across grid, asset, and operations use cases.