AI & Microsoft Copilot Implementation Analyst 5192
Contract-to-Hire | 6 Months
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.
What You’ll Be Doing
AI & Copilot Implementation
- 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
Automation & Workflow Development
- Design scalable low-code/no-code automations using Microsoft Power Platform
- 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
User Enablement & Adoption
- 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
What Success Looks Like
First 90 Days
- 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
90–180 Days
- 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
Required Experience & Skills
Must-Haves
- 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
Preferred / Standout Experience
- 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
- Basic scripting experience (Power Fx, JavaScript, or similar)
Ideal Background
- 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
Team Structure
- 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
Why This Role Matters
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.