AI Agent Developer (Microsoft Copilot)
About this role
Reporting to the Director of Artificial Intelligence, the AI Agent Developer will design, build, and deploy AI-powered agents that transform how work gets done across URUS. This role combines AI engineering, business process improvement, and organizational enablement to deliver practical solutions that improve productivity, automate workflows, and accelerate AI adoption across the enterprise.
You will partner with business teams to identify high-value opportunities, translate business processes into AI-enabled solutions, integrate agents with enterprise systems and data sources, and ensure solutions are secure, governed, and impactful. This role is ideal for someone who enjoys building, experimenting, solving problems, and helping others adopt new ways of working through AI.
What You'll Do
Partner with business teams to identify repetitive, time-consuming, and multi-step workflows that are strong candidates for AI-enabled automation.
Design, build, test, and deploy custom AI agents using Microsoft Copilot technologies and related platforms.
Integrate agents with enterprise data sources, APIs, and business applications to create seamless user experiences.
Ensure solutions meet governance, security, privacy, and quality standards before they move into production.
Monitor adoption, usage, and performance data to continuously improve AI solutions and identify opportunities for expansion.
Translate business requirements into practical agent architectures and AI workflows that deliver measurable value.
Collaborate with IT, Security, Compliance, and business stakeholders to ensure successful deployment and ongoing support.
Serve as a subject matter expert on Microsoft Copilot capabilities and emerging agentic AI technologies.
Develop training materials, demonstrations, office hours, and educational resources that help employees effectively adopt AI solutions.
Help build AI literacy, foster experimentation, and create communities of practice that encourage responsible AI adoption across URUS.
What You'll Bring
Bachelor's degree in computer science, data science, engineering, business, or a related field, or equivalent practical experience.
Experience developing and delivering enterprise software, system integrations, or workflow automation solutions.
Hands-on experience building and deploying AI-enabled products, workflows, or agentic solutions.
Familiarity with Microsoft 365, Copilot technologies, and enterprise integration patterns.
Experience with APIs, enterprise systems integration, and connecting AI solutions to business applications and data sources.
Knowledge of agentic AI concepts, including autonomous agents, multi-agent workflows, orchestration, and automation.
Experience with prompt engineering, AI workflow design, and AI-powered user experiences.
Understanding of governance, privacy, security, and responsible AI practices.
Strong problem-solving skills and the ability to translate business needs into practical technical solutions.
Strong communication skills and the ability to explain AI concepts to non-technical audiences.
Experience That Could Set You Apart
Experience with Microsoft Copilot Studio, Azure AI, OpenAI, Anthropic Claude, AWS Bedrock, or similar AI platforms.
Experience with Power Platform, Power Automate, Model Context Protocol (MCP), Microsoft Graph, Entra ID, or related enterprise technologies.
Experience supporting enterprise AI adoption, digital transformation, training, or enablement initiatives.
Experience with AI governance, model evaluation, quality assurance, or responsible AI frameworks.
Knowledge of agriculture, animal health, dairy, beef, or another data-rich industry.
Originally posted on Himalayas
