Senior AI Engineer with Azure

Senior AI Engineer with Azure Senior AI Engineer with Azure expertise to design and deploy production-grade multi-agent AI on Azure, integrating Fabric, OpenAI, and enterprise data with governance and observability. Project description: We are looking for a Senior AI Engineer to design, build, and deploy enterprise-grade multi-agent AI solutions on Microsoft Azure. The role focuses on developing structured, production-ready AI workflows that support research, sales, relationship management, and CRM automation processes. You will be responsible for creating deterministic, auditable, and observable agent-based systems integrated with Microsoft Fabric and governed by enterprise data sources. The position involves developing MCP-enabled natural language access layers, orchestrating complex agent interactions, and integrating AI services with business-critical platforms such as DealCloud and BuytheSell. This is a hands-on engineering role focused on production delivery, enterprise integration, governance, and scalability rather than model training, data science, or proof-of-concept initiatives. Ability to maintain a minimum of four hours of daily overlap with London business hours (09:00–18:00 GMT/BST) and willingness to travel to London periodically for key project milestones and workshops. Tech stack: Microsoft Azure & Microsoft Fabric Azure AI Foundry & Azure OpenAI Service Python AI Agent Frameworks (Semantic Kernel, AutoGen, LangGraph) MCP (Model Context Protocol) Azure DevOps / GitHub Actions Monitoring & Observability (Azure Monitor, Application Insights) Third-party integrations (DealCloud, BuytheSell) Requirements: Strong background in Software Engineering, AI Engineering, or a related technical discipline. Proven hands-on experience delivering production-grade Agentic AI and LLM-powered solutions. Demonstrated experience designing, building, and deploying multi-agent AI systems in enterprise environments. Strong expertise in agent orchestration frameworks such as Azure AI Foundry Agent Service, Semantic Kernel, AutoGen, LangGraph, or similar. Experience building AI solutions using Azure OpenAI Service and/or Anthropic Claude models. Strong understanding of agent coordination, state management, context propagation, routing, handoffs, and failure handling. Hands-on experience developing MCP-based solutions and natural language interfaces for enterprise data. Strong experience with Azure services including Azure OpenAI, Azure AI Foundry, Azure Functions, Service Bus, API Management, and App Services. Experience integrating AI solutions with Microsoft Fabric lakehouses, warehouses, and data pipelines. Knowledge of event-driven architectures, asynchronous processing, and message-based workflows. Experience implementing secure and governed AI solutions, including RBAC, VNet integration, private endpoints, and enterprise compliance standards. Strong Python programming skills. Experience with CI/CD pipelines using Azure DevOps and/or GitHub Actions. Ability to work independently in complex and evolving business environments. Experience collaborating with architecture, security, and governance teams. Availability for at least 4 hours of overlap with London business hours. Willingness to travel periodically to London. Nice to have: Experience with Copilot Studio agents or Microsoft 365 Copilot extensions. Experience integrating AI solutions with DealCloud, Salesforce, or similar CRM platforms. Experience with BuytheSell or other research and sales workflow platforms. Background in financial services, research, deal management, or relationship management domains. Experience implementing AI-driven scoring, targeting, engagement, or workflow automation solutions. Knowledge of Microsoft Purview for governance, compliance, and data lineage. Experience with Azure Monitor, Application Insights, or similar observability platforms. Understanding of Responsible AI, AI governance frameworks, and guardrail implementation. Experience with TypeScript. Experienced in using AI tools in day-to-day workflow Main responsibilities: Design and implement production-grade multi-agent AI systems supporting business workflows. Build and orchestrate agent interactions using Azure AI Foundry, Semantic Kernel, AutoGen, LangGraph, or equivalent frameworks. Develop deterministic, auditable, and observable AI workflows with proper state management. Implement agent routing, handoffs, context propagation, and failure recovery mechanisms. Design and develop MCP-based solutions and natural language interfaces over enterprise data. Build AI-accessible tools and MCP server components exposing business capabilities and data sources. Integrate AI solutions with Microsoft Fabric lakehouses, warehouses, APIs, and data pipelines. Develop integrations with DealCloud, BuytheSell, and other enterprise systems. Implement secure and governed access patterns, including RBAC and enterprise security controls. Build event-driven AI services using Azure Functions, Service Bus, and API Management. Establish monitoring, observability, audit trails, and AI governance controls. Define deployment, versioning, rollback, and lifecycle management standards for AI agents. Collaborate with architecture, security, and compliance teams to ensure alignment with enterprise requirements. Produce technical documentation, reusable architectures, and knowledge transfer materials. Drive end-to-end delivery from solution design through production deployment and handover. Department Software Delivery Role Software Engineer Locations Poland (PL) Remote status Fully Remote Hourly salary PLN140 - PLN170 Employment type Full-time Skills Other, Azure Experience Senior Area AI About Spyrosoft Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.