Job Title: AI Solution Architect
Location: : Minneapolis, MN
Duration: 12+ months Contract
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.
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:
o Azure AI Engineer Associate
o AWS Certified Machine Learning Specialty
o Google Professional Machine Learning Engineer
• Certifications in Generative AI tools
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
Generic Managerial Skills, If any
Soft Skills:
• Executive presence with ability to engage CXO-level stakeholders
• Strong communication, storytelling, and business value articulation
• Experience leading multidisciplinary, globally distributed teams
• Comfort operating in ambiguity and shaping new AI-led offerings
Key Words to search in Resume
• AI Strategy, Generative AI, Large Language Models, Azure OpenAI, AWS Bedrock, Vertex AI, Utilities AI, Grid Analytics, AI Center of Excellence, MLOps, Responsible AI Pre-Screening Questionnaire • # years of experience with AI-ML Architecture • Proficiency in AI/ML frameworks – TensorFlow,PyTorch, Hugging Face • Experience in cloud AI-ML solutions • Experience with MLOps
Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required.
Manasa Salla
Sr Technical Recruiter
I Tech US Inc.
