At a Glance
- Tasks: Build and support innovative AI agents using Microsoft's cutting-edge technology.
- Company: Join a fast-growing recruitment consulting firm with a global presence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make an impact in the AI field while working with top IT clients.
- Qualifications: Experience with Microsoft AI tools and strong communication skills required.
The predicted salary is between 59400 - 72600 £ per year.
The AI Engineers will be responsible for building, configuring, integrating, and supporting enterprise AI agents and copilots using Microsoft's AI ecosystem.
Key Responsibilities
- 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.
Required Skills & Experience
Essential
- 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.
- Experience supporting enterprise-scale AI deployments.
Mandatory Candidate Requirements
Candidates submitted for either role must demonstrate proven experience in:
- Microsoft Agentic AI implementations
- Copilot Studio and AI Agent development
- Microsoft 365 Copilot solutions
- Workday integration and architecture
- Enterprise AI governance and responsible AI frameworks
- Multi-Agent Architecture design and implementation
- MCP (Model Context Protocol) and A2A (Agent-to-Agent) frameworks
- Azure AI and Azure OpenAI services
- Customer-facing engagements and stakeholder workshops
- Knowledge transfer, documentation, and operational handover
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
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