AI Agent Developer Job Madison area,Wisconsin USA,Software Development

AI Agent Developer | Contract-to-Hire ABOUT OUR CLIENT

Our client is a global organization in the agricultural sector investing in AI to improve business workflows and employee productivity.
This hands-on role designs, builds, and deploys secure AI agents using the Microsoft Copilot solution stack, connecting enterprise data and applications to deliver measurable business value.
Collaborate with business teams, IT, security, and compliance while reporting to the Director of Artificial Intelligence.
Based in the Madison, Wisconsin area; local candidates or those willing to relocate are encouraged to apply.

BENEFITS & COMPENSATION

RESPONSIBILITIES FOR THE AI AGENT DEVELOPER

Partner with business units to identify high-value, repetitive, and multi-step workflows suitable for agentic automation.
Design, build, test, and deploy custom AI agents using Copilot Studio or equivalent platforms to extend standard Copilot capabilities.
Integrate agents with enterprise data sources and applications while meeting security, privacy, governance, and quality standards.
Translate business processes into practical agent solutions and measure their impact through adoption, efficiency, and quality outcomes.
Monitor usage and employee feedback to refine agents, identify underused capabilities, and prioritize opportunities for expansion.
Create training materials, demonstrations, playbooks, documentation, and office hours that help non-technical employees adopt agentic features beyond chat-based prompting.
Serve as an internal subject-matter expert on evolving Copilot capabilities and collaborate with vendor or internal platform teams to inform the roadmap.
Build communities of practice, address concerns about AI adoption, and promote responsible experimentation through safe-to-fail environments and rapid prototyping.

PREFERRED EXPERIENCE FOR THE AI AGENT DEVELOPER Required qualifications and technical background

At least one year delivering AI/ML-enabled products, workflows, internal tools, or agentic systems.
Familiarity with Microsoft 365 and enterprise integration patterns.
Background in low-code/no-code automation platforms such as Power Automate, Power Platform, or similar tools.
Experience with prompt engineering, AI workflow design, API integrations, and connecting AI agents to enterprise systems.
Knowledge of autonomous agents, multi-agent orchestration, tool use, reasoning capabilities, and workflow automation.
Prior experience in digital adoption, IT training, or AI transformation.
Awareness of AI ethics, fairness, privacy, security, data protection, and adversarial risks in model development and deployment.