Agentic AI Consultant- M365 Copilot and Copilot Studio

Sulava MEA

This role blends technical expertise, solution architecture, and consulting skills. You will work within our Agentic AI stream, collaborating with AI Strategists, business stakeholders, and technical teams to deliver scalable, governed, and impactful AI agent solutions using our Agent Factory framework.

Key Responsibilities

Solution Design & Architecture

• Design end-to-end agentic solutions: conversational flows, orchestration logic, integrations, data sources, and governance models
• Create functional and architectural blueprints for AI agents aligned with enterprise standards and Microsoft s Agent framework
• Evaluate feasibility, estimate effort, and prioritize use cases by business impact and technical complexity

Agent Development & Deployment:

• Build production-grade AI agents using Microsoft Copilot Studio, Azure OpenAI, and Power Platform
• Develop multi-agent scenarios with orchestration, handoffs, and human-in-the-loop workflows
• Implement integrations with enterprise systems: SharePoint, Dynamics 365, SAP, Salesforce, custom APIs, and Microsoft Fabric
• Ensure agents are identity-aware (Entra ID), secure (Defender), compliant (Purview), and governed according to organisational policies

Agent Factory Implementation:

• Implement Sulava MEA s Agent Factory framework for standardised, scalable agent deployment
• Establish agent lifecycle management: ideation, co-creation, deployment, continuous improvement, and retirement
• Build repeatable templates, connectors, and accelerators for common use cases
• Apply governance frameworks ensuring every agent remains effective, secure, and sustainable

Testing, Iteration & Optimisation:

• Conduct pilot testing with end-users and gather feedback to refine agent performance
• Optimise prompts, improve response accuracy, reduce latency, and enhance user experience
• Monitor agent usage, performance metrics (response time, accuracy, user satisfaction), and business impact
• Troubleshoot issues, implement fixes, and provide ongoing support post-deployment

Knowledge Transfer & Enablement:

• Train customer teams to independently build and maintain agents using Agent Factory frameworks
• Conduct build and learn workshops, empowering internal teams, partners, and vendors to become active contributors
• Document best practices, design patterns, lessons learned, and reusable components
• Mentor junior consultants and build internal capability within Sulava MEA

Governance & Best Practices:

• Ensure agents adhere to AI governance, ethical AI principles, responsible AI frameworks, and data privacy regulations (Saudi DPA, GDPR where applicable)
• Implement version control, testing protocols, change management, and release processes
• Collaborate with Technology & Security stream on compliance, risk mitigation, and security hardening