AI Engineer

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
Only candidates based in UK and eligible to work in UK are allowed