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.
