Length of Contract: 1 Year with possibility of extension
Our MNC Client is seeking for an AI Engineer who is an expert in Pro-Code AI development to lead the architecture and implementation of our enterprise-grade agentic systems. You will be building the orchestration layers, the governance guardrails, and the custom interfaces that power autonomous business workflows.
The ideal candidate lives in the Microsoft AI Platform ecosystem but approaches development with a software engineering mindset prioritizing scalability, security (via Citadel), and complex multi-agent orchestration.
Key Responsibilities
1. Agentic Orchestration & Design
- Architect and develop complex multi-agent systems using the Microsoft Agent Framework (integrating patterns from Semantic Kernel and AutoGen).
- Implement Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to allow agents to discover and invoke enterprise tools dynamically.
- Design hybrid orchestration models: combining Agentic Reasoning (dynamic) with Workflow Orchestration(deterministic business logic).
2. AI Governance & Security (The Citadel Layer)
- Deploy and manage the Foundry Citadel Platform to ensure unified governance, cost control, and observability across all AI workloads.
- Implement AI Gateway patterns to enforce enterprise policies, content safety (Prompt Shields), and managed guardrails.
- Utilize Citadel's Agent-Level Tracing and automated evaluations to monitor performance and compliance in real-time.
3. Pro-Code Backend & Data Engineering
- Build robust RAG (Retrieval-Augmented Generation) pipelines using Foundry IQ and Azure AI Search for high-accuracy, multi-hop reasoning.
- Develop backend services in Python or C# (.NET) to serve as the brain for AI agents, integrating with Microsoft Fabric and Dataverse.
- Automate the AI lifecycle (LLMOps) using GitHub Actions and Azure DevOps for CI/CD of prompt flows and model deployments.
4. UI & Frontend Integration
- Develop custom, responsive user interfaces using React or Streamlit that allow humans to interact with, supervise, and steer AI agents.
- Integrate agentic workflows into existing surfaces like Microsoft Teams, custom web portals, or the VS Code AI Toolkit.
