AI Analyst

Summit Utilities

Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020;
Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America’s Best Small Employers.

Summit is a growing natural gas utility providing safe, reliable and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers and the communities where we live.

We aim to bring warmth and energy to everything we do.

We have an exciting hybrid opportunity for an AI Analyst based in Fort Smith, AR.

Summit Utilities is looking for a proactive and solution-oriented AI Analyst to drive the practical application and adoption of artificial intelligence across the organization. In this role, you will act as a vital link between the technical AI team and business units, identifying high-value opportunities to deploy AI agents and automation workflows. You will be responsible for building and configuring AI solutions using low-code and pro-code tools, ensuring they solve operational challenges.

Additionally, you will champion the democratization of AI by providing training, creating documentation, and supporting business users in leveraging our self-service AI platforms effectively.

• AI Agent Development:
  Design, configure, and deploy purpose-built AI agents and chatbots using tools like Microsoft Copilot Studio, Azure AI Studio, or similar frameworks to assist employees with specific tasks and inquiries.
• Workflow Automation:
  Build and maintain automated workflows that integrate AI capabilities with existing business processes, utilizing platforms such as Microsoft Power Automate, Logic Apps, and Python scripting.
• Use Case Identification:
  Partner with business stakeholders across various departments (e.g., Customer Service, Operations, Finance) to analyze workflows, identify bottlenecks, and scope potential AI and automation use cases.
• Prompt Engineering & Tuning:
  Develop and refine system prompts and context configurations to ensure AI outputs are accurate, relevant, and aligned with business tone and guidelines.
• AI Democratization & Support:
  Lead training sessions and workshops to upskill business users on approved AI tools; create user guides and documentation to foster a culture of self-service innovation.
• Testing & Quality Assurance:
  Conduct rigorous testing of AI agents and automations to ensure reliability, handling edge cases and minimizing hallucinations before deployment.
• Performance Monitoring:
  Track the usage and effectiveness of deployed AI solutions, gathering user feedback to iteratively improve performance and user experience.

• Education:
  
  Bachelor’s degree in Business Analytics, Information Systems, Computer Science, or a related field; or equivalent professional experience.
• General
  
  Experience:
  
  Minimum of 3+ years of experience in business analysis, process improvement, or data analytics.
• AI/Automation
  
  Experience:
  
  Minimum of 1+ years of hands‑on experience working with automation tools, chatbots, or Generative AI applications in a business context.
• Preferred:
  Experience with the Microsoft Power Platform (Power Automate, Power Apps) or similar low-code automation ecosystems.

• Automation Platforms:
  Proficiency in Microsoft Power Automate, Logic Apps, or similar workflow automation tools.
• AI Configuration:
  Experience configuring AI assistants using tools like Microsoft Copilot Studio or OpenAI Assistants API.
• Prompt Engineering:
  Strong understanding of how to craft effective prompts to guide Large Language Models (LLMs) for specific business tasks.
• Business Analysis:
  Excellent ability to map complex business processes, identify inefficiencies, and translate business needs into technical…