Position: Agentic AI Engineer
Location: Charlotte, NC OR Dallas, TX - Hybrid
Interview: Video
Duration: 12+ months
Must haves:
Microsoft Copilot Studio
Production level Experience
Enterprise Experience
Job Description:
Senior Engineer – AI Engineering & Agent Development (Microsoft Copilot Studio)
KEY PRIORITIES
• Deep hands-on experience building AI Agents in Microsoft Copilot Studio
• Strong expertise with Microsoft Copilot and the Microsoft 365 ecosystem
• Experience designing and deploying enterprise AI solutions across Teams, SharePoint, Outlook, OneDrive, and Microsoft 365
• Building complex agentic workflows, agent orchestration, and multi-step business solutions
• Developing reusable agent frameworks and enterprise AI capabilities
• Azure AI Foundry experience is a nice-to-have; Copilot Studio is the primary focus
ABOUT THE TEAM
This team is responsible for AI Engineering and Agent Development across the enterprise. They lead the deployment and adoption of Microsoft Copilot technologies and build AI-powered solutions leveraging Teams, SharePoint, Outlook, OneDrive, Microsoft 365, and Microsoft Graph.
The team has been responsible for deploying Copilot capabilities and building agent-based solutions that automate and enhance complex business processes across multiple Microsoft platforms.
POSITION SUMMARY
Wells Fargo is seeking a Senior Engineer to design, build, and scale agentic AI solutions using Microsoft Copilot Studio and Microsoft 365 Copilot. This role focuses on developing multi-agent systems, orchestration frameworks, and enterprise AI solutions that integrate data, tools, and workflows across the Microsoft ecosystem.
RESPONSIBILITIES
• Design and implement agent orchestration patterns, including multi-agent coordination, task decomposition, workflow execution, and tool chaining
• Build end-to-end agentic solutions using Microsoft 365 Copilot and Copilot Studio
• Develop declarative and custom agents
• Build orchestration layers for planning, execution, validation, and recovery
• Create tool and skill invocation pipelines
• Ground AI solutions in enterprise data using Microsoft Graph
• Develop reusable frameworks and standards within Copilot Studio to enable scalable agent development
• Design integrations across Teams, Outlook, SharePoint, OneDrive, Microsoft 365, Windows, macOS, iOS, and Android
• Solve complex engineering challenges involving workflow execution, agent collaboration, latency optimization, cost efficiency, and reliability
• Establish AI engineering best practices, including prompt management, skill versioning, testing, evaluation strategies, and CI/CD processes
• Implement monitoring and observability for agent workflows, including execution tracing, performance metrics, success measurement, and failure analysis
• Apply responsible AI practices, including policy enforcement, security controls, data privacy, secure tool access, and explainability
• Participate in architecture reviews and technical design discussions for Copilot and agent-based solutions
• Collaborate with Product, Architecture, Engineering, and Platform teams to align solutions with enterprise standards and strategic roadmaps
PREFERRED QUALIFICATIONS
• Deep expertise with Microsoft Copilot Studio
• Experience building and deploying AI Agents in enterprise environments
• Strong knowledge of Microsoft 365, Microsoft Graph, and Copilot technologies
• Experience integrating Teams, SharePoint, Outlook, and OneDrive
• Azure AI Foundry experience preferred but not required
• Strong background in AI engineering, workflow automation, and agent orchestration
IDEAL CANDIDATE
An experienced AI Engineer with deep Microsoft Copilot Studio expertise who has successfully built and deployed enterprise AI agents, orchestrated workflows, and Microsoft 365-based solutions. The strongest candidates will have hands-on experience creating complex agentic solutions within the Microsoft ecosystem, with Copilot Studio serving as the primary skill set and Azure AI Foundry as a complementary capability.
