Solutions Analyst

Position: Application Solutions Analyst
Compensation Range $90,854.40 - $-Job Description Summary 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  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, 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., 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.

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.

- Required Qualifications Required Education 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.

Skills and Abilities

Agentic AI & LLM Orchestration:
Practical experience building autonomous AI agents using frameworks such as Microsoft Copilot Studio, Semantic Kernel, Auto Gen,…