Microsoft Agentic AI

The AI Engineers will be responsible for building, configuring, integrating, and supporting enterprise AI agents and copilots usingMicrosoft’s AI ecosystem., * Develop and deploy AI agents using Microsoft Copilot Studio.

• Build and maintain enterprise-grade Agentic AI solutions.
• Configure AI orchestration and multi-agent workflows.
• Integrate AI solutions with Workday and enterprise systems.
• Implement MCP and A2A-based communication patterns.
• Build integrations using Microsoft Graph, APIs, connectors, and Azure services.
• Support testing, deployment, monitoring, and optimisation activities.
• Develop reusable AI components and accelerators.
• Assist with customer demonstrations, workshops, and knowledge transfer activities.
• Document solutions and support operational handover., Experience supporting enterprise-scale AI deployments. Deliverables

The team will be responsible for delivering:

• Enterprise AI architecture and governance framework
• Microsoft 365 Copilot and Copilot Studio solutions
• Workday-integrated AI agents
• Multi-agent collaboration capabilities
• MCP/A2A-enabled orchestrated AI workflows
• Scalable and secure enterprise AI platform
• Knowledge transfer and operational readiness documentation
• Production-ready AI solutions aligned with LBG standards

Ideal Profiles

AI Solution Architect (1 Role): Senior architect with extensive experience designing and governing enterprise-scale Microsoft AI andAgentic AI platforms.

• Hands-on experience with:
• Microsoft 365 Copilot
• Copilot Studio
• Azure AI Services
• Azure OpenAI
• Power Platform
• Proven experience delivering Microsoft Agentic AI implementations.
• Experience developing AI agents and orchestrated workflows.
• Experience integrating solutions with Workday.
• Understanding of:
• MCP (Model Context Protocol)
• A2A (Agent-to-Agent) Protocols
• RAG Architectures
• AI Security and Governance
• Experience working within Agile delivery environments.
• Strong stakeholder communication skills.

Desirable

• Experience with Azure Functions, Logic Apps, and API Management.
• Knowledge of Microsoft Graph and Microsoft 365 ecosystem.
• Banking or regulated industry experience., AI Engineers (2 Roles): Hands-on engineers with strong Copilot Studio, Azure AI, Workday integration, and agent developmentexperience, capable of building and deploying production-grade AI solutions in large enterprise environments.