AI Developer – Azure AI Foundry

• Design and build multi-agent systems on Foundry Agent Service using Microsoft Agent Framework with Python and .NET
• Implement orchestration, hand-offs, tool calling and long-running work
• Build ingestion, chunking, indexing and retrieval pipelines on Azure AI Search
• Implement permission trimming, grounding and citations so agents answer from approved sources
• Package reusable skills and tools, including Foundry toolboxes, MCP servers and Azure Functions
• Use Dataverse as the system of record and for agent state
• Connect through the Dataverse Web API, MCP and custom connectors
• Trigger Power Automate flows and surface agents in Copilot Studio, Teams and Microsoft 365 Copilot
• Implement autonomy levels, human-in-the-loop approvals and audit logging
• Work with solution architects and clients’ risk teams on governance
• Set up tracing, evaluators, regression datasets and red-team tests
• Monitor quality, latency and token cost in production
• Give each agent its own Microsoft Entra identity and use managed identities and Key Vault
• Design for private networking, content safety and data residency
• Deploy with infrastructure as code using Bicep or Terraform
• Manage CI/CD through GitHub Actions or Azure DevOps across development, test and production environments

• 6+ years in software engineering, including 2+ years building LLM-based applications
• Hands-on experience delivering solutions on Azure AI Foundry, including agents, model deployments, Azure AI Search and evaluation
• Strong Python and C#/.NET skills
• Solid engineering habits such as testing, code review, Git and CI/CD
• Production experience with agentic patterns, including tool use, planning, memory, multi-agent orchestration and retrieval-augmented generation (RAG)
• Working knowledge of Azure Functions, Container Apps, API Management, Key Vault, Entra ID and Application Insights
• Working knowledge of Dataverse, including tables, security model and Web API
• Knowledge of how the Power Platform connects to external services
• Experience applying guardrails and evaluation to AI systems in production
• Clear communication with both business and technical audiences
• Experience building Copilot Studio agents and publishing to Teams or Microsoft 365 Copilot
• Experience building or consuming MCP servers
• Experience with Azure AI Document Intelligence, Microsoft Fabric or Azure AI Content Safety
• Delivery experience in regulated settings such as legal, financial services or government
• Microsoft certifications such as AI-102, AZ-204 or PL-400 are nice to have

• Government-mandated benefits plus supplemental HMO coverage
• Collaborative and professional work environment
• Career growth opportunities within a growing organization
• Fully remote work arrangement
• Training and support to grow careers