Senior AI Engineer, Azure

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🔥 37 minutes ago

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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.

🎯 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.