AI Consultant(Onsite) :: Minneapolis, MN

DMS Vision • Minneapolis, MN

12h • Onsite

About The Position

The AI Consultant will advise utility-sector executive and business leaders on AI-led operating model transformation and architect and deliver end-to-end AI and generative AI solutions from concept through production. The role includes establishing AI governance, Responsible AI practices, and regulatory compliance, including NERC CIP. It also involves building and scaling AI teams, Centers of Excellence, and reusable accelerators. The position is onsite in Minneapolis, Minnesota, for a six-month duration.

Requirements

• Experience with AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
• Knowledge of generative AI and LLMs, including GPT, Claude, Llama, and Gemini, and experience with prompt engineering and agentic architectures.
• Experience with cloud AI platforms including Azure Machine Learning, Azure OpenAI, AWS SageMaker, AWS Bedrock, and Google Vertex AI.
• MLOps experience, including CI/CD pipelines, model monitoring, governance, retraining, and security.
• Experience with data platforms including Databricks, Snowflake, and cloud-native data lakes.
• Knowledge of utility systems and data, including SCADA, AMI, OMS, GIS, DERMS, and EAM.
• Executive presence and ability to engage CXO-level stakeholders.
• Strong communication, storytelling, and business value articulation skills.
• Comfort operating in ambiguity and shaping new AI-led offerings.

Nice To Haves

• Former Head of AI, Chief AI Officer, AI Practice Leader, or AI startup founder.
• Experience running AI departments, AI Centers of Excellence, or small AI-focused companies.
• Proven record of building AI teams and scaling production-grade AI solutions.
• Prior consulting experience with North American utilities.

Responsibilities

• Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation.
• Architect and deliver end-to-end AI and generative AI solutions from concept to production.
• Establish AI governance, Responsible AI, and regulatory compliance, including NERC CIP.
• Build and scale AI teams, Centers of Excellence, and reusable accelerators.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed