AI & Microsoft Copilot Implementation Analyst

Cumberland / Vinings Area – Atlanta, GA

First 90 Days Fully Onsite | Hybrid Thereafter (3 Days Onsite / 2 Remote)

Drive the Execution Behind Enterprise AI Transformation!

Our client is investing heavily in Microsoft Copilot, AI-enabled automation, and next-generation productivity tools — and they are building the execution team to scale it.

This newly created role is designed to partner directly with a senior AI solutions leader already driving enterprise AI strategy and architecture. While leadership focuses on roadmap, executive engagement, and solution design, this hire will own the hands‑on implementation, automation development, integrations, and day‑to‑day execution work that brings those initiatives to life.

This is an ideal opportunity for someone who loves building, configuring, automating, troubleshooting, and deploying real‑world AI solutions inside the Microsoft ecosystem.

If you are passionate about Microsoft Copilot, Claude, Power Platform, workflow automation, and practical AI implementation — this role puts you at the center of a rapidly growing enterprise AI initiative.

• Configure, deploy, and support Microsoft 365 Copilot, Copilot Studio, and Power Platform solutions
• Build and enhance AI‑powered workflows, copilots, chat assistants, and productivity automations
• Support the integration of Claude (Anthropic) into enterprise workflows and automation initiatives
• Execute against defined AI implementation roadmaps and delivery priorities

• Build intelligent workflows that improve operational efficiency and user productivity
• Support API integrations and connectivity between Microsoft tools and third‑party systems
• Help standardize reusable automation frameworks and implementation processes

• Troubleshoot deployment, configuration, and adoption issues
• Support end users and business teams as AI capabilities expand across the organization
• Assist with training, documentation, and best practices to drive adoption
• Create repeatable documentation for workflows, integrations, and support processes

• Ramp up quickly on existing AI and Copilot initiatives
• Partner closely with senior AI leadership on implementation execution
• Deploy and support Microsoft Copilot and automation solutions
• Begin building AI‑enabled workflows and integrations
• Provide hands‑on troubleshooting and user support during rollout phases

• Take ownership of execution across multiple Copilot and automation initiatives
• Expand integrations across Microsoft and third‑party platforms
• Help scale AI‑enabled productivity solutions across business teams
• Lead documentation and process standardization efforts
• Drive broader end‑user adoption and enablement

• Hands‑on experience with Microsoft 365 Copilot, Copilot Studio, and/or Microsoft Power Platform
• Strong practical experience using Claude (Anthropic) within workflows, automation, or AI assistant use cases
• Experience building workflows and automations using low‑code/no‑code platforms
• Ability to support API integrations and system connectivity initiatives
• Strong execution mindset with the ability to work from defined requirements and rapidly deliver solutions
• Experience troubleshooting issues, supporting users, and driving adoption of new technology tools

• Experience deploying AI‑enabled workflows or copilots in enterprise environments
• Ability to bridge technical implementation with business‑user enablement and training
• Strong process documentation and knowledge‑transfer capabilities
• Experience supporting productivity and automation initiatives within Microsoft ecosystems
• Exposure to Azure services or cloud‑based AI integrations

• 2–5 years of experience in automation, business systems, IT implementation, or AI‑focused technical roles
• Strong hands‑on builder mentality with an interest in emerging AI technologies
• Comfortable operating in fast‑moving environments with evolving priorities
• Highly collaborative and execution‑focused

• Works closely alongside senior AI solutions leadership focused on enterprise AI strategy and architecture
• Acts as a dedicated execution layer responsible for accelerating deployment speed and implementation throughput

This position was intentionally created to separate strategic AI leadership from hands‑on execution work — enabling the organization to scale AI initiatives faster, improve delivery velocity, and reduce operational bottlenecks.

You won’t just support AI initiatives. You’ll help operationalize them across the business.