Senior AI Engineer with Azure

Spyrosoft is hiring a Senior AI Engineer to design, build, and deploy enterprise-grade multi-agent AI solutions on Microsoft Azure, integrating AI services with business-critical platforms such as DealCloud and BuytheSell, focused on research, sales, relationship management, and CRM automation processes.

• Strong background in Software Engineering, AI Engineering, or 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.
• 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 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.
• 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.

• 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.

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.