Senior AI Engineer with Azure
Summary
Senior AI Engineer designs, builds, and deploys enterprise-grade multi-agent AI systems on Microsoft Azure, integrating with business platforms like DealCloud and BuytheSell for automation and workflow optimization.
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)
- 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