AI/ML Leader for Power & Utilities

EY; Austin (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Manager in AI Native Engineering to lead delivery of advanced data science and AI solutions for Power & Utilities. You will work with clients and cross‑functional teams to design scalable AI systems, translate regulatory and operational needs into analytics, and drive continuous improvement across data pipelines and models.

You will guide diverse teams, apply cutting‑edge techniques, and ensure governance, security, and quality while delivering business value in a fast‑paced

Qualifications

• A Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience of full‑time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Strong skills in Python
• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with 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 analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution 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
• Demonstrated client trust and value

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

Generative AI

PyTorch

ML frameworks

DevOps

CI/CD

Data science

Education

Bachelor's degree

Master's degree

Tools

Git

Azure DevOps

Jira

LangChain

Job description

EY is seeking a Manager in AI Native Engineering to lead delivery of advanced data science and AI solutions for Power & Utilities. You will work with clients and cross‑functional teams to design scalable AI systems, translate regulatory and operational needs into analytics, and drive continuous improvement across data pipelines and models.

You will guide diverse teams, apply cutting‑edge techniques, and ensure governance, security, and quality while delivering business value in a fast‑paced