VAM Systems
Technology
CopilotEngineer(Microsoft365Copilot)
Neural analysis suggests this role is
optimal for executive candidates.
“Copilot Engineer (Microsoft 365 Copilot) at VAM Systems. Skills: Microsoft 365 Copilot, Copilot Studio, Prompt engineering, Workflow automation. Drive enterprise-wide adoption. Embed AI into business workflows”
What You'll Achieve.
Improve productivity; Promote AI-first culture; Achieve sustained adoption; Achieve value realization
Industry & Context.
What They're Looking For.
Must Have
Microsoft 365 Copilot experience, Copilot Studio experience, 4+ years relevant experience, AI agent design experience, Prompt engineering experience, Workflow automation experience, Microsoft 365 ecosystem understanding, Enterprise environments experience, Digital transformation initiatives experience, Delivering training sessions, Delivering workshops, Delivering Copilot clinics, User enablement programs delivery, Driving enterprise-wide adoption, Embedding AI into workflows, Designing Copilot solutions, Implementing Copilot solutions, Custom Copilot agents design, Connectors implementation, Secure data integration, Copilot Studio configurations, Stakeholder collaboration skills, Work with business users, Work with senior leadership, Work with IT teams, Define use cases, Translate use cases, Scalable AI solutions, Drive AI adoption outcomes, Measure productivity gains, Refine use cases, Support change management
Nice to Have
AI adoption programs experience, Enterprise digital transformation experience, Microsoft Power Platform knowledge, Enterprise security knowledge, Data governance knowledge, Compliance in AI solutions knowledge
What You'll Do.
Drive enterprise-wide adoption
Embed AI into business workflows
Promote AI-first culture
Design Copilot solutions
Implement Copilot solutions
Configure custom Copilot agents
Configure secure data integration
Configure Copilot Studio
Collaborate with business users
Collaborate with senior leadership
Collaborate with IT teams
Translate use cases into solutions
Drive AI adoption outcomes
Measure productivity gains
Refine use cases based on feedback
Support change management
Achieve sustained adoption
Achieve value realization
How You'll Work.
Team & Collaboration
Technical stakeholders; Non-technical stakeholders; Business users; Senior leadership; IT teams
Communication Scope
Engage effectively
Full Job Description
We are currently looking for Expert Copilot Engineer (Microsoft 365 Copilot) for our UAE operations. Preferred Qualifications • Experience in AI adoption programs or enterprise digital transformation initiatives. • Knowledge of Microsoft Power Platform (Power Automate, Power Apps, Power BI). • Familiarity with enterprise security, data governance, and compliance in AI solutions. • Certification in Microsoft AI, Copilot, or related cloud technologies. Required Skills • Strong experience in Microsoft 365 Copilot and Copilot Studio (minimum 4+ years of relevant experience). • Hands-on experience in AI agent design, prompt engineering, and workflow automation. • Strong understanding of the Microsoft 365 ecosystem, including Teams, SharePoint, Outlook, Word, Excel, and Power Platform. • Experience working in enterprise environments and supporting digital transformation initiatives. • Excellent communication skills with the ability to engage effectively with both technical and non-technical stakeholders. • Proven experience in delivering training sessions, workshops, Copilot clinics, and user enablement programs. • Experience in driving enterprise-wide Microsoft 365 Copilot adoption by embedding AI into business workflows to improve productivity and promote an AI-first culture. • Expertise in designing and implementing Copilot solutions, including custom Copilot agents, connectors, secure data integration, and Copilot Studio configurations. • Strong stakeholder collaboration skills with the ability to work with business users, senior leadership, and IT teams to define use cases and translate them into scalable AI solutions. • Ability to drive AI adoption outcomes by measuring productivity gains, refining use cases based on feedback, and supporting change management for sustained adoption and value realization. Joining time frame: 2 weeks (maximum 1 month)
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