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AI Solutions Lead

Job in Burlington, Chittenden County, Vermont, 05405, USA
Listing for: Vgsvt
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

AI Solutions Lead

S Burlington, VT, US

ABOUT THE POSITION

At Vermont Gas Systems (VGS), we do work that matters. We deliver safe and reliable thermal energy products and services to over 55,000 Vermonters across Chittenden, Franklin, and Addison counties. As we continue to evolve and advance climate forward innovation, our people remain at the center of everything we do.

We see artificial intelligence as a powerful tool to enhance – not replace – the expertise, judgement, and relationships that define our work. AI at VGS is focused on improving how work gets done, enabling employees to operate more effectively, efficiently, and creatively, while delivering consistently exceptional customer experience.

The AI Solutions Lead plays a central role in shaping how VGS evaluates, adopts, and applies AI across the organization. This role is responsible for identifying high‑impact opportunities where AI can create meaningful business value, developing and testing practical solutions, and supporting teams in integrating those solutions into everyday work. This is a business solutions focused role for someone who understands how work gets done, can spot opportunities for AI to improve workflows and outcomes.

The AI Solutions Lead partners closely with teams across the enterprise and works alongside technical experts on the Technology Team to bring ideas to life in a responsible, effective, and sustainable way.

CORE RESPONSIBILITIES

Work with the Director of Technology and other stakeholders to develop and maintain a company‑wide AI strategy aligned with VGS business objectives and enterprise direction. Identify, evaluate, and prioritize AI use cases across the business enterprise. Build and present business cases for AI investments, including cost‑benefit analysis and risk assessment. Track the evolving AI landscape and advise leadership on emerging capabilities relevant to utility operations.

  • Prototyping & Development

Build and maintain working AI prototypes, agents, and workflow automations that demonstrate value and accelerate adoption. Develop proof‑of‑concept tools that address specific business problems across the business enterprise. Iterate on prototypes based on user feedback and collaborate with IT to move successful solutions into production. Maintain hands‑on proficiency with current AI platforms and development frameworks.

Lead administration of company adopted AI tools including configuration, provisioning, spend management and monitoring. Evaluate AI platforms, tools, and vendors against VGS requirements for security, cost, and regulatory compliance. Manage vendor relationships and contracts, serving as the primary point of contact for AI technology partners. Assist the Director of Technology negotiate licensing agreements and monitor vendor performance against agreed deliverables. Use hands‑on technical knowledge to critically assess vendor claims and ensure tools deliver on their promises.

  • Cross-Functional Integration

Work across departments to identify, build, and deploy AI solutions that strengthen what employees already do well. Collaborate across all departments to identify high‑value opportunities for AI, ensuring solutions are aligned with operational needs, regulatory expectations, and employee workflows. This includes partnering with diverse teams to design and implement AI tools that enhance performance, strengthen decision‑making, and support organizational readiness and change.

Track adoption metrics, conduct capability assessments, and evaluate program effectiveness. Identify gaps, emerging opportunities, and areas for improvement. Recommend enhancements to AI policies, procedures, and practices that strengthen outcomes and align with organizational goals.

SHARED RESPONSIBILITIES
  • AI Governance & Risk

Contribute to the development of AI governance policies covering data privacy, algorithmic bias, transparency, and documentation standards. Work with IT and legal to ensure AI deployments meet applicable state and federal regulations, including emerging AI‑specific requirements. Maintain an inventory of AI tools and use cases across the organization.

  • Training & AI Literacy

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