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AI & Microsoft Copilot Implementation Analyst 5192. 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.
Job Responsibility:
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
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
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
Requirements:
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
Basic scripting experience (Power Fx, JavaScript, or similar)
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
Nice to have:
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)