Senior AI Engineer
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Key skills for this role
About the Role
What You Will Build ➤ Production AI agents using Microsoft Foundry Agent Service: multi-agent workflows, hosted agents, memory, observability, identity integration, secure endpo.
Key Skills for This Role
Responsibilities
- Translate business opportunities into robust, production ready agent architectures
- Build pro code AI agents using Python (FastAPI, Streamlit, etc.), .NET, React.js with the Microsoft Agent Framework
- Lead the design of multi agent orchestration and agentic design patterns, including planning, routing, and human in the loop patterns
- Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery
- Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines
- Set and maintain the reference patterns and reusable components other engineers build from
- Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path
- Support presales and customer proposals with technical input on feasibility and solution design
Requirements
- Significant hands on experience building production AI agents or AI infused applications
- Strong software engineering skills in Python or .NET, including modern cloud integration patterns
- Hands on experience with Microsoft Foundry: projects, SDKs, models, the model router, hosted agents, and Foundry tools
- Demonstrable experience building complete agentic workflows in Foundry Agent Service, including tool invocation and deployment
- Deep understanding of Azure AI Search and retrieval augmented generation patterns, including vector, hybrid, and multimodal retrieval
- Practical experience implementing AI safety features: prompt shields, grounded Ness checks, and sensitive content filters
- Experience with Azure Logic Apps, Azure Functions, Model Context Protocol (MCP) tools, and secure enterprise integrations
- Strong understanding of Microsoft Entra ID and enterprise governance best practice
- Experience reviewing other engineers' technical work and giving direct, constructive feedback
- Daily proficiency with GitHub Copilot, including effective use of GitHub Copilot Chat in real development work
- Comfort with CI/CD pipelines, telemetry, evaluation metrics, and iterative delivery
- Backend and streaming services: designing and operating asynchronous APIs (FastAPI/ASGI, or ASP.NET) with streaming responses, middleware, and clean configuration and secrets handling
Full Job Posting
What You Will Build
- Production AI agents using Microsoft Foundry Agent Service: multi agent workflows, hosted agents, memory, observability, identity integration, secure endpoints, and deployment
- Knowledge grounded experiences using Azure AI Search and retrieval augmented generation, including vectors, keyword searchable, hybrid, semantic ranking and enterprise permissioned retrieval
- Deterministic, source grounded extraction: pipelines that pull figures and facts straight from documents without hallucinating, attaching citations, provenance and uncertainty flags
- Tool using agents that execute secure actions through Model Context Protocol (MCP), Azure Logic Apps, Azure Functions, and custom APIs
- Model optimized applications using Foundry Models and the model router, balancing quality, latency, and cost
- Enterprise safe systems with prompt shielding, grounded Ness checks, and content safety enforcement
- Reusable reference agents, connectors, and evaluation templates that ship into our UseCaseLibrary
What You Will Do
- Translate business opportunities into robust, production ready agent architectures
- Build pro code AI agents using Python (FastAPI, Streamlit, Scraping, Serialization, etc..), .NET React.js with the Microsoft Agent Framework
- Lead the design of multi agent orchestration and agentic design patterns, including planning, routing, and human in the loop patterns
- Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery
- Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines
- Set and maintain the reference patterns and reusable components other engineers build from
- Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path
- Support presales and customer proposals with technical input on feasibility and solution design
What You Bring
- Significant hands on experience building production AI agents or AI infused applications, not just prototypes
- Strong software engineering skills in Python or .NET, including modern cloud integration patterns
- Hands on experience with Microsoft Foundry: projects, SDKs, models, the model router, hosted agents, and Foundry tools
- Demonstrable experience building complete agentic workflows in Foundry Agent Service, including tool invocation and deployment
- Deep understanding of Azure AI Search and retrieval augmented generation patterns, including vector, hybrid, and multimodal retrieval
- Practical experience implementing AI safety features: prompt shields, grounded Ness checks, and sensitive content filters
- Experience with Azure Logic Apps, Azure Functions, Model Context Protocol (MCP) tools, and secure enterprise integrations
- Strong understanding of Microsoft Entra ID and enterprise governance best practice
- Experience reviewing other engineers' technical work and giving direct, constructive feedback
- Daily proficiency with GitHub Copilot, including effective use of GitHub Copilot Chat in real development work
- Comfort with CI/CD pipelines, telemetry, evaluation metrics, and iterative delivery
- Backend and streaming services: designing and operating asynchronous APIs (FastAPI/ASGI, or ASP.NET) with streaming responses, middleware, and clean configuration and secrets handling
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