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Job description
Job Description
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
Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field (Master’s or PhD preferred)
Salary Range: 252,000-341,000 a year
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.