AI Copilot Architect — Hybrid DC, Power Automate Expert

Experis; Washington (District of Columbia); Hybrid; USD 96,000 - 103,000; Full time

Job summary

Experis, a ManpowerGroup brand, is seeking an AI Engineer & CoPilot Specialist in Washington, DC. The role blends AI agent design, workflow orchestration, and enterprise integration across Teams, Dynamics 365, and REST APIs.

The position requires hands-on experience with Copilot Studio, Power Automate, and Azure OpenAI, with a focus on governance, security, and practical end-user training to drive broad AI adoption.

Qualifications

• Experience with Copilot Studio, Power Automate, and Dataverse.
• Strong knowledge of REST APIs and JSON data structures.
• Proven ability to design and deploy AI agents and RAG workflows.
• Experience in enterprise-grade governance and security practices.

Responsibilities

• Build AI agents by deploying specialized copilots with Copilot Studio.
• Develop agentic workflows with custom topics and autonomous orchestration.
• Implement retrieval-augmented generation grounded in SharePoint.
• Orchestrate Power Automate cloud flows as tool repositories.
• Manage fallback strategies for enterprise-grade agents.
• Engineer prompts to ensure accurate, deterministic behaviors.
• Integrate Copilots with Teams, Dynamics 365, and REST APIs.
• Build connectors to link enterprise ecosystems.
• Enforce governance aligned with data protection policies.
• Configure Entra ID access controls and data boundaries.
• Train users through practical workshops on enterprise AI adoption.

Skills

Generative AI

Data Architecture

REST APIs

Azure OpenAI Service

Tools

Copilot Studio

Power Automate

Dataverse

Job description

Experis, a ManpowerGroup brand, is seeking an AI Engineer & CoPilot Specialist in Washington, DC. The role blends AI agent design, workflow orchestration, and enterprise integration across Teams, Dynamics 365, and REST APIs.

The position requires hands-on experience with Copilot Studio, Power Automate, and Azure OpenAI, with a focus on governance, security, and practical end-user training to drive broad AI adoption.