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

NLP PEOPLE; Hoboken (NJ); Hybrid; USD 125,500 - 230,200; Full time

Benefits offered by this job

Medical and dental plans

401(k) plans

Paid time off

Job summary

NLP PEOPLE is seeking a Manager in AI Native Engineering to lead the development of scalable AI solutions for Power & Utilities clients. The role involves working collaboratively with clients to design and industrialize analytics solutions that drive efficiency and innovation.

The ideal candidate should have a Bachelor's degree, 6-10 years of relevant experience, and strong proficiency in Python, AI, and machine learning. Competitive compensation includes a salary between $125,500 and $230,200 USD, along with comprehensive benefits.

Qualifications

• Bachelor’s degree (4‑year degree).
• 6–10 years of experience in AI, Data Science, and/or Machine Learning.
• 2–4 years of experience managing technical teams.
• Strong skills in Python and experience with AI/ML solutions.

Responsibilities

• Lead workstream delivery and manage processes.
• Continuously improve processes through innovation.
• Design and deliver AI/ML use cases.
• Support utilities in moving AI solutions to production.

Skills

Python

AI/ML solutions

DevOps tools (Git, Azure DevOps)

Natural Language Processing

Deep Learning

SQL

Data Visualization

Education

Bachelor's degree

Master's degree in related field

Tools

Pandas

Spark

scikit-learn

PyTorch

Job description

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.