AI ArchitectZensar Technologiesfull-timeRequired skillsAzurecomplianceCRMdata architectureDevOpsmicroservicesreference architectureReference Architecturetechnical architectureServiceNowAbout the role Zensar Technologies Website: zensar.com Job details: Key ResponsibilitiesDefine the reference architecture for enterprise AI and multi-agent systems.Design agent orchestration frameworks, including supervisor, planner, and tool-using agents.Architect RAG pipelines, vector search, and knowledge grounding strategies.Define data flows, APIs, and integration patterns across enterprise systems (ServiceNow, Workday, CRM, etc.).Establish security architecture, including RBAC, identity, zero-trust integrations, and data governance.Define AI safety, responsible AI controls, and compliance mechanisms.Create architecture artifacts including:System architecture diagramsData architectureIntegration architectureDeployment architectureLead technical architecture reviews with enterprise architecture teams.Establish standards and reusable patterns for agent design, monitoring, and lifecycle management.Provide guidance to developers, DevOps, and AI teams during implementation.Required SkillsStrong experience with AI architectures and LLM ecosystemsAzure AI Foundry / Azure OpenAI / Copilot StudioMulti-agent frameworks and orchestration patternsAPI architecture and microservicesRAG architecture and vector databasesCloud architecture (Azure preferred)Security architecture and governancePreferred ExperienceEnterprise AI transformation programsResponsible AI frameworksLarge-scale AI platform implementations Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.