NLP PeopleAbout this role
Location: Anywhere in Country The Opportunity
As a Manager in AI Native Engineering within EY's Artificial Intelligence and Data team, you will research, build, and implement scalable AI systems to solve complex problems for Power & Utilities clients. You will work side‐by‐side with clients and interdisciplinary teams to design, develop, and industrialize end‐to‐end analytics solutions that support regulated utilities, ranging from grid reliability to capital planning and customer operations.
Your Responsibilities
Lead workstream delivery and manage processes and projects to ensure on‐time, on‐budget results.Continuously improve processes by researching innovative solutions and conducting analysis.Supervise professional employees and manage teams to deliver complex technical initiatives with accountability for performance.Engage actively with clients in daily sessions, leading workstreams from planning through execution to closure.Identify opportunities for additional services and manage engagement economics.Design and deliver AI/ML use cases relevant to Power & Utilities, such as asset health prediction, outage analytics, demand forecasting, and regulatory reporting.Integrate utility data sources—including SCADA, AMI, GIS, EAM, OMS, CIS, and historian systems—into modern analytics platforms.Support utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.Required Qualifications
Bachelor's degree (4‐year degree).6–10 years of full‐time experience in AI, Data Science, and/or Machine Learning.2–4 years of direct experience managing technical teams.Strong skills in Python.Experience designing, building, and maintaining high‐impact production AI/ML solutions on a major cloud platform.Proficiency with Generative AI models and frameworks (e.g., OpenAI, DALL‐E, LangChain, Retrieval‐Augmented Generation) and ML packages such as scikit‐learn and PyTorch.Experience with natural language processing and deep learning.Extensive experience with DevOps tools (Git, Azure DevOps), Agile (Jira), and CI/CD pipelines for analytical solutions.Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.Experience with model retraining, feedback loops, monitoring, and reporting.Understanding of data structures, modeling, and software engineering best practices.Strong foundation in mathematics, statistics, operations research, SQL, Pandas, Spark, and deep‐learning techniques.Excellent communication skills and willingness to travel for client engagements.Proven ability to lead teams, manage change, and build client trust.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.Preferred Qualifications
Deep understanding of and ability to teach concepts, tools, and techniques.Master's degree in Computer Science, Mathematics, Physical Sciences, or a quantitative field.Experience working with diverse teams to deliver complex solutions.Proficiency in languages beyond Python (R, JavaScript, Java, C++, C).Experience fine‐tuning Generative AI models.Experience managing complex projects with multiple stakeholders.Strong understanding of industry trends and emerging technologies.Skills in data visualization and storytelling with data.Experience with image processing, speech, or audio 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 for regulators or governing bodies.Compensation & Benefits
Base salary ranges from $125,500 to $230,200 USD across the U.S., with higher ranges for major metro areas (e.g., New York City, Washington State, and California). The total rewards package includes medical, dental, pension, 401(k) plans, and paid time off options.
Vacation & Work‐Location
Employees determine vacation time based on personal circumstances, in addition to EY Paid Holidays and designated breaks. Most client‐serving roles are expected to work in‐person 40–60% of the time during engagements.
Equal Employment Opportunity
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.
Reasonable Accommodation
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans. For assistance applying online or requesting accommodation, contact EY Talent Shared Services.
Company:
NLP PEOPLE
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying