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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and supporting Microsoft Copilot solutions and AI workloads, with a strong focus on governance, security, and compliance. Proficient in leveraging Azure services and implementing monitoring and operational procedures to ensure high-quality managed services.
Highest-signal resume keywords
Microsoft Copilot ExperienceAzure AI Services ProficiencyAI Governance and Compliance KnowledgePython and API DevelopmentITIL Practices for Operational Support
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Cloud EngineeringAI EngineeringApplication SupportAI/ML Solutions DevelopmentMonitoring and Incident ManagementAutomation SolutionsData ProtectionAccess ManagementOperational ProceduresTechnical Documentation
Soft Skills
Analytical Problem-SolvingCollaboration with StakeholdersFocus on Automation and Optimisation
Tools & Technologies
Microsoft 365Copilot StudioAzure AI FoundryMicrosoft FabricPurviewLow-Code Platforms
Certifications & Qualifications
Microsoft Certified: Azure AI Engineer Associate (AI-102)Microsoft Certified: Azure Administrator Associate (AZ-104)Microsoft 365 Certified: Fundamentals
Industry Keywords
Managed ServicesEnterprise AI SolutionsConsulting EnvironmentsResponsible AI PrinciplesCloud Solutions
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Deploy, configure, and support Microsoft Copilot solutions across M365 and custom Copilot use cases
- Build and integrate AI solutions using Azure AI services, Copilot Studio, and Azure AI Foundry
- Operate and monitor AI workloads to ensure reliability, performance, and responsible usage
- Support the AI solution lifecycle, including deployment, updates, and optimisation in Managed Services environments
- Implement monitoring, logging, and alerting for AI services and copilots to detect issues and risks
- Collaborate with stakeholders to identify, prioritise, and deliver AI use cases that drive business value
- Apply governance, security, and compliance controls to AI workloads, including data protection and access management
- Maintain technical documentation, runbooks, and operational procedures for AI services
- Work closely with customers to implement and manage AI capabilities in production and ensure a high-quality managed services experience
Requirements
What you’ll need- 3–5 years’ experience in cloud engineering, AI engineering, or application support roles
- Experience delivering or supporting AI solutions in enterprise or consulting environments
- Experience with Microsoft Copilot, including M365 Copilot and Copilot Studio
- Working knowledge of Azure services including compute, identity, storage, and monitoring
- Experience building or supporting AI/ML or automation solutions using Python, APIs, or low-code platforms
- Understanding of AI governance, security, and compliance, including responsible AI principles
- Experience with monitoring, incident management, and operational support using ITIL practices
- Strong analytical and problem-solving capability with focus on automation and optimisation
- Familiarity with Microsoft Fabric, Purview, or data platform technologies
- Experience supporting Copilot rollout, adoption, or enablement initiatives
- Bachelor’s degree in IT, Computer Science, or related field (preferred education and experience)
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Azure Administrator Associate (AZ-104)
- Microsoft 365 Certified: Fundamentals / Copilot-related certifications (desirable)
- Relevant cloud or AI certifications
Benefits
Comp & perks- Ongoing training and certification opportunities
- Work on leading-edge Copilot and AI innovation programs
- Global collaboration and career development
- Inclusive and high-performing culture
