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AI Solutions Analyst
Job in
Greeley, Weld County, Colorado, 80639, USA
Listed on 2026-06-02
Listing for:
Weld County
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
$90,854.40 - $
Job Description Summary
The ideal candidate is a hands-on builder with deep knowledge of agentic AI frameworks, Microsoft Copilot Studio, Power Platform automation, and cloud-based AI services. They will serve as the organization's internal expert on AI agent design; identifying high-value automation opportunities, architecting multi-step agentic pipelines, and ensuring responsible deployment of AI solutions.
Job Description
Agentic AI Design & Automation - 50%
- Design, build, and deploy agentic AI workflows that autonomously execute multi-step business processes using Microsoft Copilot Studio, Power Automate, and Azure AI services.
- Identify and evaluate high-impact automation opportunities across business units, translating complex manual processes into intelligent, agent-driven pipelines.
- Develop custom AI agents and copilots capable of reasoning, tool use, and dynamic decision-making to handle real-world enterprise workflows with minimal human intervention.
- Integrate AI agents with enterprise systems (M365, SharePoint, third-party APIs) to enable seamless end-to-end process automation.
- Leverage large language model (LLM) orchestration patterns including ReAct, chain-of-thought prompting, and tool-calling to build reliable, goal-directed agents.
- Prototype and iterate rapidly on agent designs, validating performance against business outcomes before broader deployment.
- Partner with IT and business teams to deploy AI agents into production environments, ensuring reliability, security, and scalability.
- Build and maintain agent monitoring frameworks to track performance, detect failures, and trigger human-in-the-loop escalation where appropriate.
- Ensure all agentic solutions adhere to Responsible AI principles and organizational governance standards, including data privacy, fairness, and transparency.
- Stay current with rapidly evolving agentic AI tools, frameworks (e.g., Auto Gen, Semantic Kernel, Lang Chain), and platform capabilities, proactively recommending adoption where appropriate.
- Communicate solution architecture and capabilities clearly to non-technical stakeholders, translating agent behavior into understandable business outcomes.
- Maintain thorough documentation of agent architectures, automation logic, integration points, and operational runbooks.
- Prepare executive summaries and operational dashboards that communicate the business impact of deployed AI solutions.
- Serve as an internal champion and subject matter expert for agentic AI, conducting workshops and training sessions to build organizational capability.
- Develop reusable agent templates, prompt libraries, and best-practice guides to accelerate adoption across teams.
- Foster a culture of intelligent automation by collaborating with business units to surface new use cases and build a roadmap of AI-powered improvements.
Required Education
- Bachelor's Degree or 4 years experience designing and deploying AI/automation solutions
- Agentic AI & LLM Orchestration:
Practical experience building autonomous AI agents using frameworks such as Microsoft Copilot Studio, Semantic Kernel, Auto Gen, or Lang Chain, including tool use, memory, and multi-step reasoning. - Microsoft Power Platform & Copilot:
Proficiency in Power Automate, Power Apps, and Copilot Studio for building conversational and process automation solutions at enterprise scale. - Programming & Scripting:
Proficiency in Python for automation, API integration, prompt engineering, and agent logic development. Familiarity with JavaScript or Power Shell is a plus. - Cloud & AI Services:
Hands-on experience with Azure AI Studio, Azure OpenAI Service, Azure Logic Apps, and related cloud services. Familiarity with AWS or GCP AI offerings is beneficial. - Process Automation Mindset:
Strong ability to decompose complex business workflows into automatable steps and design agents that execute reliably in dynamic environments. - API & Systems Integration:
Experience integrating AI agents with REST APIs, enterprise platforms (M365, SharePoint), and data…
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