AI Architect - Pan India

Required QualificationsEducationBachelor's or Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, or related field.Experience7+ years of experience in Manufacturing, Industrial Operations, Digital Manufacturing, Industry 4.0, or Industrial Digital Transformation.3+ years designing and deploying AI, Analytics, Machine Learning, or GenAI solutions.Experience leading large-scale enterprise transformation programs.Strong client-facing consulting and solution architecture experience.Required Technical SkillsAI & Advanced AnalyticsGenerative AI and Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)Agentic AI and Multi-Agent ArchitecturesMachine Learning and Predictive AnalyticsComputer VisionTime-Series AnalyticsKnowledge Graphs (Neo4j preferred)RAG Architecture and Vector DatabasesCloud & Data PlatformsMicrosoft Azure AI ServicesAzure Data PlatformDatabricksMicrosoft FabricAWS or Google Cloud AI PlatformsData Engineering and Data GovernanceIndustrial & Manufacturing SystemsMES (AVEVA, Siemens Opcenter, Rockwell, Dassault, SAP ME)SCADA, DCS, PLC EcosystemsHistorians (PI, IP21, Canary)ERP (SAP, Oracle)PLM and Engineering SystemsIIoT PlatformsArchitecture & EngineeringEnterprise ArchitectureSolution ArchitectureAPI and Integration DesignMLOps / LLMOpsAI Governance & Responsible AICybersecurity for Industrial EnvironmentsPreferred QualificationsExperience in Manufacturing Copilots, Operations Copilots, or Engineering Assistants.Experience with Digital Twin platforms and simulation technologies.Certifications in Azure AI, Azure Solutions Architecture, AWS ML, or equivalent.Experience working with industrial data platforms such as Cognite, AVEVA CONNECT, or DataHub platforms.Familiarity with autonomous operations and closed-loop optimization systems.Key CompetenciesStrategic ThinkingExecutive CommunicationConsultative Problem SolvingInnovation MindsetCross-Functional LeadershipArchitecture GovernanceManufacturing Domain ExpertiseStakeholder ManagementBusiness Value RealizationSuccess MetricsAI solutions successfully deployed into production.Measurable client outcomes such as productivity improvement, cost reduction, quality enhancement, and operational efficiency gains.Growth of AI-driven business pipeline and revenue.Development of reusable assets and industrial AI accelerators.Increased adoption of AI across manufacturing and industrial operations.Client satisfaction and executive stakeholder trust.Ideal ProfileA visionary technology leader who understands both the factory floor and the AI frontier—capable of transforming industrial operations through scalable, responsible, and outcome-driven AI solutions.