{"id":3955213,"url":"https://alion.io/job/zensar-technologies-genai-architect","title":"GenAI Architect","company":{"id":59576,"name":"Zensar Technologies","domain":"zensar.com","url":"https://alion.io/company/zensar-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":44,"ghost_share":0.114,"stale_share":0.114,"repost_share":0.386,"time_to_fill_p50_days":6,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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enterprise-wide Generative AI architecture strategy, standards, and best practices.\nDesign scalable and secure LLM-powered solutions using Azure OpenAI and Azure AI Services.\nArchitect enterprise-grade RAG platforms leveraging vector databases, semantic search, and knowledge management systems.\nDesign and govern Agentic AI ecosystems utilizing AI Agents, tool calling, orchestration, and autonomous workflows.\nEvaluate and select appropriate foundation models, embeddings, and multimodal architectures based on business requirements.\nDesign AI platforms supporting: Enterprise Chatbots\nIntelligent Search\nKnowledge Assistants\nDocument Intelligence\nSoftware Engineering Assistants\nBusiness Process Automation\n\nDefine reference architectures for: Multi-agent systems\nRAG pipelines\nAI gateways\nModel serving\nPrompt management\nEvaluation frameworks\n\nEstablish AI governance, Responsible AI, security, privacy, compliance, and risk management controls.\nArchitect solutions utilizing Vision LLMs, OCR, and multimodal AI capabilities.\nGuide engineering teams on implementation patterns using LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and other AI frameworks.\nDefine observability, monitoring, evaluation, and feedback-loop mechanisms for AI applications.\nLead technical design reviews, architecture governance boards, and AI solution assessments.\nOptimize AI solutions for scalability, reliability, latency, cost, and performance.\nDefine CI/CD and MLOps strategies for AI solution deployment.\nCollaborate with enterprise architects, cloud architects, security teams, and business stakeholders to align AI initiatives with organizational goals.\nMentor AI engineers, data scientists, and development teams on modern GenAI architectures and engineering practices.\nStay current with emerging AI technologies, models, frameworks, and industry trends.\nRequired Skills\nGenerative AI & LLMs\nLarge Language Models (LLMs)\nGPT-4o, GPT-4.1, Claude, Gemini, Llama\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nEmbeddings\nSemantic Search\nAI Agents\nFunction Calling\nContext Engineering\nMemory Management\nModel Evaluation\nFine-Tuning Concepts\nMulti-Agent Systems\nAgent Orchestration\nAgentic AI Frameworks\nLangGraph\nLangChain\nLlamaIndex\nCrewAI\nAutoGen\nSemantic Kernel\nOpenAI SDK\nMCP (Model Context Protocol)\nCloud & AI Platforms\nAzure OpenAI Service\nAzure AI Foundry\nAzure AI Search\nAzure AI Services\nAzure Document Intelligence\nAzure Functions\nAzure Kubernetes Service (AKS)\nAzure API Management\nAzure Storage\nAzure Key Vault\nAzure Monitor\nArchitecture & Enterprise Design\nEnterprise Architecture Frameworks\nSolution Architecture\nCloud-Native Architecture\nEvent-Driven Architecture\nAPI-Led Architecture\nMicroservices Design\nHigh Availability Design\nScalability Engineering\nSecurity Architecture\nIntegration Architecture\nData & Vector Technologies\nAzure AI Search\nFAISS\nPinecone\nWeaviate\nChromaDB\nPostgreSQL\nCosmos DB\nRedis\nKnowledge Graphs\nData Modeling\nProgramming & Development\nPython (Expert)\nFastAPI\nREST APIs\nAsynchronous Programming\nDocker\nKubernetes\nGitHub\nAzure DevOps\nCI/CD Pipelines\nObservability & Evaluation\nOpik\nLangSmith\nMLflow\nPrompt Evaluation\nLLM Monitoring\nExperiment Tracking\nAI Quality Metrics\nHallucination Detection\nPerformance Benchmarking\nSecurity & Governance\nResponsible AI\nAI Governance Frameworks\nData Privacy\nModel Security\nPrompt Injection Protection\nAI Risk Management\nCompliance Controls\nEnterprise Security Standards\nRequired Experience\n10+ years of overall software engineering and architecture experience.\n5+ years of solution architecture experience in cloud-native environments.\n3+ years of hands-on experience in Generative AI and LLM solution architecture.\nProven experience designing enterprise-scale RAG platforms.\nExperience architecting AI Agent and multi-agent solutions.\nStrong expertise with Azure OpenAI and Azure AI ecosystem.\nExperience defining AI governance, security, and Responsible AI frameworks.\nHands-on experience with vector databases and semantic search solutions.\nExperience designing multimodal AI applications involving text, image, and document intelligence.\nExperience leading technical teams and driving architecture decisions across large organizations.\nExperience implementing MLOps and AI platform engineering practices.\nStrong stakeholder management and client-facing consulting experience.\nPreferred Qualifications\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.\nMicrosoft Certified: Azure Solutions Architect Expert\nAzure AI Engineer Associate\nAzure AI Fundamentals\n\nExperience working with Fortune 500 enterprise AI transformation programs.\nExperience with GenAI governance and AI Center of Excellence (CoE) initiatives.\nKnowledge of FinTech, Healthcare, Insurance, Retail, or Banking domain AI implementations.\nNice-to-Have Skills\nNVIDIA NIM\nHugging Face Ecosystem\nGraphRAG\nNeo4j\nDatabricks\nSnowflake Cortex\nVertex AI\nAmazon Bedrock\nOpenTelemetry\nAI Gateway Platforms\nFederated AI Architectures\nKnowledge Graph Solutions\nVector Database Benchmarking\nEnterprise CoPilot Development\nAI Platform Engineering\nExperience Range\n12-18+ Years\nTarget Profile\nThis role is suitable for a GenAI Solution Architect / AI Architect / Enterprise AI Architect who can define enterprise AI strategy, architect scalable GenAI platforms, govern AI adoption, and lead large-scale AI transformation initiatives beyond hands-on development.\nOK\n 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