Application Solutions Analyst

County of Weld • Greeley, CO

5d

About The Position

The Application Solutions Analyst is a forward-thinking, results-driven role responsible for designing, building, and deploying agentic AI solutions that streamline and automate business processes across the organization. This position goes beyond data analysis — it is centered on creating intelligent, autonomous workflows that reduce manual effort, accelerate decision-making, and enable teams to operate at scale. 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.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, or a related field; or 4 years of hands-on experience designing and deploying AI/automation solutions.
• Practical experience building autonomous AI agents using frameworks such as Microsoft Copilot Studio, Semantic Kernel, AutoGen, or LangChain, including tool use, memory, and multi-step reasoning.
• Proficiency in Power Automate, Power Apps, and Copilot Studio for building conversational and process automation solutions at enterprise scale.
• Proficiency in Python for automation, API integration, prompt engineering, and agent logic development.
• Hands-on experience with Azure AI Studio, Azure OpenAI Service, Azure Logic Apps, and related cloud services.
• Strong ability to decompose complex business workflows into automatable steps and design agents that execute reliably in dynamic environments.
• Experience integrating AI agents with REST APIs, enterprise platforms (M365, SharePoint, Dynamics), and data sources.
• Understanding of ethical AI practices, data privacy regulations, and organizational security standards as they apply to autonomous AI systems.

Nice To Haves

• Familiarity with JavaScript or PowerShell is a plus.
• Familiarity with AWS or GCP AI offerings is beneficial.

Responsibilities

• 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, Dynamics, 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., AutoGen, Semantic Kernel, LangChain), 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.

Benefits

• Generous benefits offered

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level