Weld County
AISolutionsAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Solutions Analyst at Weld County. Skills: Agentic AI, Microsoft Copilot Studio, Power Platform, Azure AI. Design agentic AI workflows. Build agentic AI workflows”
What You'll Achieve.
Ensure responsible deployment; Ensure reliability; Ensure security; Ensure scalability; Track performance; Communicate business impact
Industry & Context.
Identify automation opportunities; Evaluate automation opportunities; Translate complex processes; Design agents; Validate performance; Troubleshoot agent failures
Pass criminal background check, Pass pre-employment drug screening, Pass substance screening
What They're Looking For.
Must Have
Bachelor's Degree or 4 years experience designing and deploying AI/automation solutions, Practical experience building autonomous AI agents, Proficiency in Power Automate, Power Apps, and Copilot Studio, Proficiency in Python, Hands-on experience with Azure AI Studio, Azure OpenAI Service, Azure Logic Apps, Experience integrating AI agents with REST APIs, enterprise platforms, Understanding of ethical AI practices, data privacy regulations, and organizational security standards
Nice to Have
Familiarity with JavaScript or PowerShell, Familiarity with AWS or GCP AI offerings
What You'll Do.
Design agentic AI workflows
Build agentic AI workflows
Deploy agentic AI workflows
Execute multi-step business processes
Identify automation opportunities
Evaluate automation opportunities
Translate manual processes
Design agent-driven pipelines
Develop custom AI agents
Develop custom copilots
Dynamic decision-making
Enable end-to-end process automation
Leverage LLM orchestration patterns
Build goal-directed agents
Prototype agent designs
Iterate agent designs
Validate agent performance
Partner with IT teams
Partner with business teams
Build agent monitoring frameworks
Track agent performance
Detect agent failures
Trigger human-in-the-loop escalation
Adhere to Responsible AI principles
Adhere to organizational governance standards
Stay current with AI tools
Stay current with AI frameworks
Recommend adoption of tools
Communicate solution architecture
Communicate solution capabilities
Translate agent behavior
Maintain documentation
Prepare executive summaries
Prepare operational dashboards
Serve as internal champion
Serve as subject matter expert
Conduct training sessions
Build organizational capability
Develop reusable agent templates
Develop prompt libraries
Develop best-practice guides
Foster culture of intelligent automation
Collaborate with business units
Surface new use cases
Build roadmap of improvements
How You'll Work.
Team & Collaboration
Partner with IT teams; Partner with business teams; Collaborate with business units
Communication Scope
Communicate solution architecture; Communicate solution capabilities; Translate agent behavior; Prepare executive summaries; Prepare operational dashboards
Full Job Description
## Compensation Range $90,854.40 - $127,171.20 \-- ## 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. **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
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