Sr. AI Architect

NTT
Bengaluru
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 13+ yearsSkills: ["Excellent English communication","Work cross-functionally with stakeholders","Work with India and Portugal teams"]

Own business and technology architecture for manufacturing transformation, translating strategy into secure, scalable cloud, data, AI, and agentic AI architectures. Lead architecture for Azure/AWS landing zones, data platforms, IoT/edge, APIs/events, microservices, and operational governance. Define secure OT/IT integration patterns across industrial systems, and design production AI use cases (e.g., maintenance copilots, planning agents, root-cause agents) using RAG, tool use, and responsible AI controls.

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FursaFursa
NTT
NTT
1 week ago

Sr. AI Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Own business and technology architecture for manufacturing transformation, translating strategy into secure, scalable cloud, data, AI, and agentic AI architectures. Lead architecture for Azure/AWS landing zones, data platforms, IoT/edge, APIs/events, microservices, and operational governance. Define secure OT/IT integration patterns across industrial systems, and design production AI use cases (e.g., maintenance copilots, planning agents, root-cause agents) using RAG, tool use, and responsible AI controls.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Own business and technology architecture for manufacturing transformation across shop floor, supply chain, quality, maintenance, engineering, and aftermarket.
  • •Create current-state and target-state capability maps across value streams (plan, source, make, deliver, maintain, service).
  • •Lead architecture across Azure/AWS landing zones, data platforms, IoT/edge, APIs/events, microservices, and platform governance (security, reliability, observability, FinOps).
  • •Define secure OT/IT integration patterns across ERP, MES, PLM, QMS, EAM, SCM, historian/time-series, and SCADA/PLC connectivity layers.
  • •Design production-grade AI and agentic AI use cases (e.g., maintenance copilots, planning agents, root-cause agents, supplier risk assistants, knowledge search) and embed RAG, vector search, tool use, evaluation, monitoring, and responsible AI controls.

Key Requirements

  • •13+ years in technology/consulting with 5+ years in architecture and 5+ years in manufacturing domain programs.
  • •Deep manufacturing knowledge (discrete/process/hybrid manufacturing, Industry 4.0, ISA-95 concepts, OEE, quality, maintenance, and supply chain operations).
  • •Hands-on architecture depth in Azure and AWS, with practical familiarity with GCP, hybrid cloud, identity, network, security, data, and integration services.
  • •Strong cloud-native architecture knowledge (container/serverless, APIs, events, lakehouse/warehouse, streaming, edge/IoT, integration platforms).
  • •Good AI and agentic AI architecture knowledge (LLMs, RAG, multi-agent orchestration, vector databases, LLMOps/GenAIOps, guardrails and model risk).
Experience:13+ yearsManufacturingCloudAIAgentic AIIoTOT/ITResponsible AIConsulting
Skills:Excellent English communicationWork cross-functionally with stakeholdersWork with India and Portugal teams
Certifications:Azure Solutions Architect ExpertAWS Solutions Architect ProfessionalGoogle Professional Cloud Architect
Languages:EnglishPortuguese
Tech Stack:AWSAzureGCPContainerServerlessAPIsEventsMicroservicesSecurityReliabilityObservabilityFinOpsIdentityNetwork securityData platformsLakehouseWarehouseStreamingEdge/IoTIntegration platforms

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn