> Markdown version of [/jobs/ext/2996892-application-solutions-analyst](https://www.wearedevelopers.com/jobs/ext/2996892-application-solutions-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Solutions Analyst - **Company:** Weld County, CO - **Location:** Greeley, CO, United States - **Experience:** Experienced - **Salary:** $90,854.0 - $127,171.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Python (Programming Language), Microsoft Dynamics, Windows PowerShell, Cloud Services, Azure Machine Learning, Microsoft SharePoint, Software Deployment, Systems Integration, Scripting, Microsoft Power Automate, ReactJS, Large Language Models, Prompt Engineering, AI Platforms, Virtual Agents, Restful APIs, Powerapps, Web Api - **Published:** September 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7be0c2c4f313a748 ## About the Role * 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., * Agentic AI & LLM Orchestration: 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. * 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 PowerShell 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, Dynamics), and data sources. * Responsible AI & Governance: Understanding of ethical AI practices, data privacy regulations, and organizational security standards as they apply to autonomous AI systems. * Candidate must pass criminal background check prior to employment start date. Licenses and Certifications * Pre-employment substance screening is required for this position. * This position is subject to a pre-employment drug screening. Employment is contingent upon successfully passing the screening in accordance with Weld County policy. ## Description 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., * 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. Integration & Deployment - 30% * 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. Documentation & Reporting - 10% * 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. Training & Knowledge Sharing - 10% * 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. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [From Syntax to Singularity: AI’s Impact on Developer Roles](https://www.wearedevelopers.com/videos/900-from-syntax-to-singularity-ai-s-impact-on-developer-roles) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Prototyping with Hardware and the Web](https://www.wearedevelopers.com/videos/651-prototyping-with-hardware-and-the-web) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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