AI&Machine Learning Engineering Consultant - Power&Utilities …, San Antonio

Location: Anywhere in Country

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.

Technology - Data and Decision Science - AI Native Engineering

AI/Machine Learning Engineer, Manager Consultant

Power&Utilities Sector

The opportunity

Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll 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. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have 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 will 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.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

In Power&Utilities contexts, this includes working with business, IT, and operations leaders to translate regulated utility priorities-such as safety, reliability, affordability, and compliance-into scalable AI-enabled solutions.

Your responsibilities will include:

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 and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services

For Power&Utilities clients, success also requires an understanding of regulated operating models, risk tolerance, safety culture, rate cases, capital programs, and long asset lifecycles, and the ability to align AI outcomes to these realities.

The following attributes will make a significant impact:

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, you must have

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

Skills in Technical Design Optimization

Strong relationship-building skills

Demonstrated client trust and value

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 (e.g., utilities, energy, infrastructure, manufacturing, or transportation) is strongly preferred.

Familiarity with utility regulatory, compliance, or operational data considerations is a plus.

Ideally, you'll also have

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

Experience working with diverse teams to deliver complex solutions

Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

Experience fine-tuning Generative AI models

Experience in managing complex projects with multiple stakeholders

A strong understanding of industry trends and emerging technologies

Skills in data visualization and storytelling with data

Experience with image processing techniques and/or speech and audio processing and analysis

Exposure to Power&Utilities transformation programs, such …