Req ID: 383210
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Sr. AI Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Business Domain Architect – Manufacturing
Senior domain architect with 13+ years experience combining deep business domain expertise with cloud (AWS, Azure), data, AI and agentic AI architecture. Strong AWS & Azure Architecture experience with working knowledge in GCP.
Locations: Bangalore (but any location is Fine) Mode: Hybrid / client-facing Primary cloud: Azure + AWS; GCP working knowledge Domain focus: Smart manufacturing, OT/IT, supply chain
ROLE PURPOSE: Own business and technology architecture for manufacturing transformation across shop floor, supply chain, quality, maintenance, engineering and aftermarket. Translate manufacturing strategy into scalable, secure and value-driven cloud, data, AI and agentic AI architectures.
Define reusable patterns for smart factories, predictive maintenance, quality analytics, production optimization, supply chain control towers, digital thread, digital twins and agentic AI copilots
KEY RESPONSIBILITIES MUST-HAVE EXPERIENCE AND SKILLS
• Demonstrate strong knowledge of manufacturing capabilities across plan, source, make, deliver, maintain and service value streams, and use this knowledge to shape current-state and target-state capability maps.
• Advise on manufacturing transformation initiatives, including smart factories, plant modernization, asset performance, predictive maintenance, quality analytics and supply chain control towers.
• Provide manufacturing-domain architectural guidance for Azure and AWS solutions supporting data platforms, IoT and edge, APIs and events, microservices, security, reliability, observability and FinOps, without necessarily being responsible for hands-on engineering or platform configuration.
• Define and guide secure OT/IT integration patterns across ERP, MES, PLM, QMS, EAM, SCM, historian and time-series platforms, SCADA/PLC environments and industrial connectivity layers.
• Identify and shape AI and agentic AI use cases relevant to manufacturing, such as maintenance copilots, production-planning agents, root-cause analysis agents, supplier-risk assistants and enterprise knowledge search.
• Understand and guide the application of RAG, vector search, tool use, human-in-the-loop review, prompt and policy controls, evaluation, monitoring, responsible AI and data governance within manufacturing environments.
• Lead domain-focused workshops with plant operations, engineering, quality, supply chain, CIO, CTO and COO stakeholders, enterprise architects, delivery teams and vendors across India and Portugal.
• Provide architectural oversight through reference architectures, architecture decision records, non-functional requirements, risk reviews, vendor assessments and governance forums.
• Work closely with cloud, data, application, security, OT and AI engineering teams that are responsible for detailed design, development, configuration and implementation.
- 13+ years in technology/consulting, including 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; practical familiarity with GCP, hybrid cloud, identity, network, security, data and integration services.
- Strong command of cloud-native patterns: container/serverless, APIs, events, lakehouse/warehouse, streaming, edge/IoT and integration platforms.
- Good AI and agentic AI architecture know-how: LLMs, RAG, multi-agent orchestration, vector databases, LLMOps/GenAIOps, guardrails and model risk.
- Ability to convert business outcomes into target architecture, transition states, investment roadmap and delivery backlog.
- Excellent English communication; able to work with India and Europe teams with CET/IST overlap
Hyperscaler skill checklist
Azure
Capability Area Candidate should know Check
Manufacturing platform & data • Microsoft Fabric / OneLake lakehouse for manufacturing data
• Azure Data Factory / Event Hubs / Stream Analytics patterns
• Azure Digital Twins / Fabric Digital Twin Builder concepts
Power BI and Real-Time Intelligence for operational dashboards Strong / Working / Awarenes / Gap
IoT, edge and hybrid • Azure IoT Operations / IoT Hub / IoT Edge concepts
• Arc-enabled Kubernetes / hybrid management Strong / Working / Awareness / Gap
AI, agents and automation
• Azure AI Foundry / Azure OpenAI / Foundry Local concepts
• Copilot Studio, Semantic Kernel, Azure Functions and Logic Apps integration
• RAG, agent orchestration, prompt/version control and evaluation
• Computer vision for quality and safety use cases
• Human approval, action policy and business workflow integration Strong / Working / Awareness / Gap
Security, governance and operations
• Microsoft Entra ID, RBAC and managed identities
• Key Vault, Defender for Cloud, Sentinel, Azure Policy
• Purview for data governance, lineage and classification
• Azure Monitor / App Insights for observability Strong / Working / Awareness / Gap
AWS
Capability Area Candidate should know Check
Manufacturing platform & data • AWS IoT SiteWise / SiteWise Edge for industrial data
• S3 data lake, Glue Data Catalog, Lake Formation governance
• Amazon Timestream / Kinesis / Managed Flink for time-series and streaming Strong / Working / Awarenes / Gap
IoT, edge and hybrid • AWS IoT Core, Greengrass, Shop Floor Connectivity Framework
• Industrial protocol ingestion with partner connectors Strong / Working / Awareness / Gap
AI, GenAI and agents
• Amazon Bedrock for foundation models and agents
• Amazon SageMaker AI for model build/train/deploy and MLOps
• Computer vision / anomaly detection use cases at edge
• Semantic search and governed data access for RAG
• Agentic workflows for maintenance, supply chain, quality and engineering Strong / Working / Awareness / Gap
Security, governance and operations
• IAM, KMS, Secrets Manager and network segmentation
• VPC, PrivateLink, hybrid networking and landing zones
• CloudWatch, CloudTrail and Config monitoring
• Policy-based access, data lineage and cross-domain governance Strong / Working / Awareness / Gap
PREFERRED QUALIFICATIONS
• Azure Solutions Architect Expert
• AWS Solutions Architect Professional
• Google Professional Cloud Architect
• TOGAF/Business Architecture and exposure to ISA/IEC 62443 or industrial cybersecurity
• MBA, Industrial Engineering or Operations background is useful.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
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