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Lead Solution Architect / Enterprise

Capgemini Invent · Bengaluru, Karnataka, India

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Lead Solution Architect / EnterpriseLocation-PAN IndiaWe are seeking a Lead Solution Architect / Enterprise Architect to lead end-to-end OT, IT, Cloud, IoT/IIoT, Data, and AI architecture for manufacturing, energy & utilities, and asset-intensive industries. The role focuses on secure OT/IT integration, scalable solution design, and governance-driven delivery to achieve business impact. The candidate should have strong industry experience across manufacturing and asset-intensive sectors (FMCG, Pharma, Energy & Utilities, Metals & Mining etc.) with proven ability in executive storytelling, architecture diagrams, decision logs, and technical governance effectively to both business and technical stakeholders.Enterprise & Solution Architecture LeadershipDefine enterprise and domain architectures across OT/IT, data, integration, security, and applications, with target-state roadmaps aligned to business goals.Manage Enterprise/solution architecture reference patterns, NFRs, trade-offs, scalability, reliability, and cost optimizationLead architecture governance through standards, reference architectures, design reviews, technical debt control, and reusable patterns.Understand SCADA/DCS/PLC basics, industrial networks, historians, MES/MOM, and asset/reliability context.Have strong knowledge in Integration: APIs, event streaming, messaging, middleware, and data pipelines.Translate business needs into architecture decisions, balancing trade-offs across build vs buy, edge vs cloud, performance, cost, cybersecurity, and data residency.Architect secure integration across SCADA/DCS/PLC, historians, MES/MOM, EAM/CMMS, ERP, QMS/LIMS, and enterprise data platforms.Define secure connectivity patterns using OPC UA, MQTT, AMQP, edge gateways, time-series ingestion, and event streaming across shopfloor and enterprise systems.Design resilient architectures for high availability, low latency, and reliable operations across plants and sites.Cloud/Edge Data & Integration ArchitectureArchitect hybrid and multi-cloud platforms with secure landing zones, identity, networking, observability, DR, and cost optimization.Define modern integration patterns across APIs, event streaming, messaging, and service boundaries.Build industrial data architectures for analytics, covering contextualization, multi-model data, quality, lineage, and governance.Bring strong expertise in industrial edge architecture, including gateways, industrial PCs, edge microservices, and containerization.AI / GenAI / Agentic AI EnablementLead AI enablement architecture including MLOps/LLMOps, model governance, monitoring, and scalable deployment (cloud + edge).Architect GenAI solutions with guardrails, model monitoring and responsible AI.Design human-in-the-loop Agentic AI workflows for orchestration, automation, auditability, and safe execution.COTS + Custom Solutioning & Vendor EcosystemEvaluate, select, and integrate COTS products (IIoT platforms, historians, MES/MOM, EAM/APM, QMS, analytics platforms) with custom services and microservices where required.Lead RFP/RFI technical responses, vendor assessments, PoCs, solution demonstrations, and technical due diligence.Security, Compliance & Reliability by DesignEmbed OT/IT security controls across segmentation, identity, patching, vulnerability management, and secure remote access.Design architecture that meets regulatory and operational needs for auditability, data integrity, retention, resilience, and disaster recovery.Your Qualifications10–16+ years in solution/enterprise architecture with strong exposure to OT/IT convergence in manufacturing, utilities, energy, or other asset‑intensive industries.Bachelor’s/master’s in engineering / computer science / Electronics / Industrial or equivalent experience.MBA or an equivalent qualification from a top tier/reputed institute.Proven experience architecting solutions across edge/IIoT, cloud, integration, data platforms, and industrial applications (MES/MOM, historians, EAM/APM, SCADA/DCS).Strong stakeholder management across Plant/Operations, Engineering, IT, OT security, Data/AI, and vendors.Experience across diverse manufacturing sectors such as Automotive, Industrial Equipment, FMCG, Pharma, Electronics, Energy, Utilities or Mining/ Metals, delivering scalable and complex industrial solutions.Good communication and executive storytelling, architecture diagrams, decision logs, and technical governance.Frameworks/standards: TOGAF/ArchiMate, ISA‑95/IEC 62264, IEC 62443, NIST/Zero Trust concepts.(Preferred)Experience with digital twin, APM/RCM, predictive maintenance, computer vision quality inspection, and energy optimization.(Preferred)