DysrupIT is a cloud services and IT solutions company helping organizations modernize technology and move toward as-a-Service operating models. Its work spans enterprise cloud, managed services, application engineering, cybersecurity, and data analytics and information management, supporting businesses from small and medium-sized organizations to multinational enterprises. The company works with Microsoft and other cloud platforms, combining technical delivery with talent development, community impact, and long-term partnerships to build secure, scalable technology environments aligned with business needs.
Senior Azure AI Foundry Developer
Build governed, multi-agent AI solutions on Azure AI Foundry, connecting Dataverse and Power Platform for DysrupIT’s Microsoft consultancy client.
Description
- Build multi-agent solutions on Foundry Agent Service with Microsoft Agent Framework, Python, and .NET.
- Develop orchestration, hand-offs, tool calling, and support for long-running tasks.
- Create ingestion, chunking, indexing, and retrieval pipelines with Azure AI Search.
- Restrict permissions and implement grounding and citations so agents use approved sources.
- Package reusable skills and tools, including Foundry toolboxes, MCP servers, and Azure Functions.
- Use Dataverse for system-of-record data and agent state.
- Integrate through the Dataverse Web API, MCP, and custom connectors.
- Trigger Power Automate flows and publish agents in Copilot Studio, Teams, and Microsoft 365 Copilot.
- Set autonomy levels and implement human approvals and audit logging.
- Partner with solution architects and client risk teams on governance.
- Configure tracing, evaluators, regression datasets, and red-team tests.
- Track production quality, latency, and token costs.
- Assign each agent a Microsoft Entra identity and use managed identities and Key Vault.
- Design for private networking, content safety, and data residency.
- Deploy infrastructure as code with Bicep or Terraform.
- Run CI/CD with GitHub Actions or Azure DevOps across development, test, and production.
Requirements
- At least 6 years of software engineering experience, including 2 or more years developing LLM-based applications.
- Practical delivery experience with Azure AI Foundry, including agents, model deployments, Azure AI Search, and evaluation.
- Strong Python and C#/.NET skills.
- Sound engineering practices, including testing, code review, Git, and CI/CD.
- Production experience with agentic approaches such as 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 tables, its security model, and Web API.
- Understanding of how Power Platform connects to external services.
- Experience applying guardrails and evaluating AI systems in production.
- Ability to communicate clearly with business and technical audiences.
- Experience developing Copilot Studio agents and publishing them to Teams or Microsoft 365 Copilot.
- Experience building or using MCP servers.
- Experience with Azure AI Document Intelligence, Microsoft Fabric, or Azure AI Content Safety.
- Delivery experience in regulated sectors such as legal, financial services, or government.
- Microsoft certifications such as AI-102, AZ-204, or PL-400 are preferred.
Benefits
- Government-mandated benefits and supplemental HMO coverage.
- A collaborative, professional work environment.
- Career development opportunities in a growing organization.
- Fully remote work arrangement.
- Training and support for career growth.