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AI Engineer

Job Posted: 19 hours ago

  • Salary: £ 380 - 400 / Day

    Job Type: Permanent

  • Location: United Kingdom

Expire in: a month

Job Description

The AI Engineers will be responsible for building, configuring, integrating, and supporting enterprise AI agents and copilots usingMicrosoft'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 Pracyva is one of THE FASTEST GROWING specialized RecruitmentConsulting firm in UK and Europe… Pracyva Limited has local presence across UK , Europe ( Ireland, Netherlands , Poland ,Germany ), USA, Middle East  and India , serving Top IT clients for large volumes ..We are currently hiring for our Reputed client

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