AI Architect - Krish Services Group

Key Responsibilities

• Design and deploy next-generation AI systems, including LLM applications, RAG systems, and multi-agent workflows, from concept to production.
• Develop reference architectures and canonical blueprints for RAG on Azure AI Search, agent runtimes on Azure AI Foundry, and LLM-backed assistants.
• Lead end-to-end AI system design, including model selection, retrieval design, orchestration, and deployment topology (AKS, Container Apps, APIM).
• Establish agent system frameworks, orchestration patterns, tool-use contracts, and evaluation harnesses using Azure AI Foundry Agent Service and Semantic Kernel.
• Build and maintain evaluation and observability layers with Azure Monitor, Application Insights, and tools like Braintrust or LangSmith.
• Drive R&D cadence, evaluate new Azure AI releases, and publish findings to upskill the AI engineering team.

Requirements

• 12+ years in software development, with 2–3 years shipping production AI/ML systems (LLM apps, RAG, or agent systems).
• Deep expertise in Azure AI stack (Foundry, AI Search, Azure OpenAI, AI Content Safety, AML) and hands-on production experience.
• Proficiency in Azure platform components (AKS, API Management, Cosmos DB, Fabric, Entra ID) and IaC (Bicep/Terraform).
• Familiarity with open-source orchestration tools (Semantic Kernel, LangGraph, AutoGen) and cross-cloud model APIs (Anthropic, OpenAI, Bedrock).
• Strong systems and data engineering skills, with a focus on latency, cost, and reliability tradeoffs.