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AI Agent Developer – Microsoft Copilot
URUS Group. Partner with business teams to identify repetitive, time-consuming, and multi-step workflows suitable for AI-enabled automation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI-enabled solutions using Microsoft Copilot technologies, with a strong focus on integrating enterprise systems and ensuring compliance with governance and security standards. Capable of translating complex business requirements into effective AI workflows and fostering AI literacy across organizations.
Highest-signal resume keywords
Microsoft Copilot TechnologiesAI Workflow DesignEnterprise Systems IntegrationGovernance And Security StandardsPrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI-Enabled Products DevelopmentWorkflow Automation SolutionsAPIs IntegrationAgentic AI ConceptsMulti-Agent WorkflowsOrchestrationAI-Powered User ExperiencesMicrosoft 365Microsoft Copilot StudioAzure AI
Soft Skills
Strong Problem-Solving SkillsStrong Communication Skills
Tools & Technologies
Power PlatformPower AutomateOpenAIAnthropic ClaudeAWS BedrockMicrosoft GraphEntra ID
Certifications & Qualifications
MCP
Industry Keywords
Digital TransformationAI GovernanceModel EvaluationQuality AssuranceResponsible AI FrameworksAgricultureAnimal HealthDairyBeefData-Rich Industries
Tech Stack
Tools & technologiesAWSAzure
About the role
Key responsibilities & impact- Partner with business teams to identify repetitive, time-consuming, and multi-step workflows suitable 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
- Ensure solutions meet governance, security, privacy, and quality standards before production
- Monitor adoption, usage, and performance data to improve AI solutions and identify expansion opportunities
- Translate business requirements into practical agent architectures and AI workflows
- Collaborate with IT, Security, Compliance, and business stakeholders on deployment and ongoing support
- Serve as a subject matter expert on Microsoft Copilot and emerging agentic AI technologies
- Develop training materials, demonstrations, office hours, and educational resources
- Build AI literacy, foster experimentation, and create communities of practice for responsible AI adoption
Requirements
What you’ll need- 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 ability to translate business needs into practical technical solutions
- Strong communication skills and ability to explain AI concepts to non-technical audiences
- Preferred/advantageous experience with Microsoft Copilot Studio, Azure AI, OpenAI, Anthropic Claude, AWS Bedrock, Power Platform, Power Automate, MCP, Microsoft Graph, Entra ID, enterprise AI adoption, digital transformation, training, enablement, AI governance, model evaluation, quality assurance, responsible AI frameworks, or agriculture/animal health/dairy/beef/data-rich industries