Senior AI Business Consultant

The Senior AI Consultant will lead AI-driven transformation initiatives for North American Utilities clients. This role targets senior practitioners with deep strategic advisory experience, strong technical credibility, and a proven track record of building and scaling AI teams and solutions. Candidates who have led AI departments, Centers of Excellence, or founded / operated AI-focused


companies will be given strong preference.

Roles & Responsibilities

Define and lead AI & GenAI strategy for electric, gas, and water utilities


Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation


Architect and deliver end-to-end AI and GenAI solutions from concept to production


Lead large-scale AI programs across grid operations, asset management, customer operations, and energy transition


Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP)


Build and scale AI teams, Centers of Excellence, and reusable accelerators


Support pre-sales, RFPs, executive solutioning, and strategic pursuits

Qualifications:

Technical Expertise:


AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face


Generative AI & LLMs: GPT, Claude, Llama, Gemini; prompt engineering and agentic architectures


Cloud AI Platforms: Azure Machine Learning, Azure OpenAI, AWS SageMaker & Bedrock, Google Vertex AI


MLOps: CI/CD pipelines, model monitoring, governance, retraining, and security


Data Platforms: Databricks, Snowflake, cloud-native data lakes


Utility Systems & Data: SCADA, AMI, OMS, GIS, DERMS, EAM

Preferred Skills / Background:


Former Head of AI, Chief AI Officer, AI Practice Leader, or AI Startup Founder


Experience running AI departments, AI CoEs, or small AI-focused companies • Proven record of building AI teams and scaling production-grade AI solutions


Prior consulting experience with North American utilities Certifications

Relevant certifications in AI/ML and cloud platforms:


Azure AI Engineer Associate


AWS Certified Machine Learning Specialty


Google Professional Machine Learning Engineer


Certifications in Generative AI tools

Education:


Bachelors degree in Computer Science, AI/ML, Data Science, or a related field (Masters or PhD preferred)

Salary Range: 203,700-275,600 a year


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