AI Solutions Analyst

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

Job description

The full responsibilities and requirements are on the employer’s site.

Source and classification

Internal deployment & tooling · Evidence for this classification:

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

More from the 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 aga [... source excerpt omitted ...] ross 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 Qualifications Required Education Bachelor's Degree or 4 years experience designing and deploying AI/automation solutions Skills and Abilities 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

How jobs are selected

Employer postings · Data from Sep 9 · Sources