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

About the role

The opportunity involves working with diverse teams from EY to advise clients on applying cutting-edge technology and techniques in the AI and machine learning space. This role requires a passion for continuous learning and influencing new ways of working.

Responsibilities

• Research, build, and implement scalable artificial intelligence systems tailored to business requirements across various environments, including cloud and on-premises.
• Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
• Monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis.
• Work with business, IT, and operations leaders to translate regulated utility priorities into scalable AI-enabled solutions.
• Design and deliver 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.
• Engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.
• Identify opportunities for additional services and manage engagement economics.
• Support utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.

Requirements

• 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 to lead, collaborate, and communicate effectively with diverse, hybrid, and global teams.
• Experience in 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 DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing.
• 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 modeling, 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.

Qualifications

• A Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field is preferred.
• 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 as grid modernization, advanced metering, wildfire mitigation, energy transition, DER integration, or digital operations initiatives.
• Experience supporting executive-level decision-making in regulated environments, including preparation of materials that may be reviewed by regulators or governing bodies.

Benefits

• Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans.
• Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Pay

The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.