AI Architect

The AI Engineer designs, builds, and operates the core infrastructure and orchestration backbone of AI solutions. This role ensures the platform is secure, scalable, resilient, and production-grade.

Responsibilities:

• Architect and implement cloud-native AI platforms using Azure.
• Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
• Knowledge in MCP, A2A, and other new protocols
• Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models).
• Implement RAG pipelines using Azure AI Search, vector databases, and storage.
• Design secure APIs, authentication, authorization, and secrets management.
• Support observability: logging, tracing, metrics, and AI performance dashboards.

Requirements:

• 10+ years in AI, ML - AI Engineer.
• Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI).
• Strong understanding of LLMs, embeddings, RAG, and agentic architectures.
• Proficiency in Python.
• Experience with infrastructure-as-code (Bicep, Terraform).
• Strong DevOps and security mindset.
• Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
• Knowledge of compliance and data governance for AI systems.