Principal Architect

Area(s) of responsibility Key Job Responsibilities Architecture & DesignDefine end-to-end AI/GenAI architecture for enterprise applicationsDesign scalable solutions using LLMs, RAG pipelines, vector databases, and agentic workflowsAzure AI PlatformArchitect solutions using Azure OpenAI, Azure ML, Databricks, AI SearchDesign cloud-native architectures (scalability, HA/DR, cost optimization)Development & EngineeringLead hands-on Python development for AI/ML and GenAI applicationsBuild APIs, microservices, and reusable AI componentsGenAI ImplementationImplement:RAG (retrieval-augmented generation) pipelinesVector search and embeddingsMulti-agent and tool-calling frameworksDevelop AI copilots, chatbots, and automation systemsGovernance & SecurityEnsure Responsible AI, compliance, and data governance (PII, lineage, security)Implement guardrails: prompt security, content filtersLeadership & CollaborationProvide architecture guidance and mentor engineering teamsWork with business stakeholders to translate requirements into solutions Mandatory Skills AI/ML & GenAILLMs (GPT or open-source), RAG, embeddings, vector databasesExperience building enterprise GenAI solutionsLangChain, LangGraphAgentic AIProgrammingStrong expertise in Python (mandatory)Experience with APIs, microservicesAzure CloudHands-on with:Azure OpenAI / AI StudioAzure ML, Databricks, SynapseStorage (Blob, Cosmos DB), AI SearchArchitectureExperience designing scalable, distributed systemsStrong knowledge of cloud-native architecture patternsExperience10+ years in IT5+ years in AI/ML2+ years in Generative AI / LLM-based systems Preferred Skills Experience with:LlamaIndex, Autogen, CrewAIMulti-agent systemsExposure to:Vector DBsData platformsCloud & Platform:Multi-cloud (AWS/GCP)Kubernetes, containersGovernance:Data governance tools (Purview, cataloging, lineage)Certifications:Azure Solutions Architect / Azure AI Engineer .