Technical Architect - Digital Twins with AI for Manufacturing
HCL TechBee · Bengaluru · onsite · Posted 39d ago
Not disclosed7–15 yrsfulltimeSourced from
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About this role
Role: Technical Architect - Digital Twins with AI for Manufacturing
Location: Bangalore / Chennai
Experience Required: 7-15 Years
Role & Responsibilities:
- Engage with customers to understand manufacturing challenges and design tailored Digital Twin + AI solution architectures (virtual plant models, real-time simulation, predictive analytics, process optimization, quality, and asset performance)
- Lead solutioning workshops, technical discovery, and proof-of-concept (PoC) design; translate business requirements into scalable technical architectures
- Propose end-to-end solutions covering data acquisition (OT/IT), modeling, simulation, AI/ML layers, visualization, and integration with existing MES/ERP/SCADA systems
- Develop Ips — reusable frameworks, reference architectures, accelerators, AI models, simulation templates, and methodologies specific to Digital Twins for Manufacturing
- Collaborate with sales, pre-sales, and delivery teams to support proposals, demos, and technical evaluations
- Stay current with Smart Manufacturing / Industry 4.0 technologies and continuously evolve solution patterns and IP assets
- Provide technical leadership, mentor engineers, and ensure solution quality, scalability, security, and maintainability
- Contribute to thought leadership through whitepapers, reference designs, and internal knowledge bases
Professional Competencies:
- 7+ years of experience in Solution Architecture, Technical Architecture, or Digital Transformation engagements
- Strong experience in Digital Twin solutions for Manufacturing, Smart Factory, Industry 4.0, or Industrial IoT environments
- Proven expertise in designing end-to-end architectures spanning OT and IT ecosystems
- Experience integrating Digital Twin solutions with manufacturing platforms such as MES, ERP, SCADA, Historian, and Industrial IoT systems
- Strong understanding of simulation, modeling, predictive analytics, AI/ML, and optimization techniques in manufacturing environments
- Experience architecting cloud-native solutions on Azure, AWS, or GCP
- Demonstrated ability to lead customer workshops, technical discovery sessions, solution presentations, and architecture discussions
- Experience supporting pre-sales activities including solutioning, proposals, technical responses, demonstrations, and Proofs of Concept (PoCs)
- Strong communication and stakeholder management skills with the ability to engage both technical and business audiences
- Experience creating reusable frameworks, reference architectures, accelerators, and technical assets
Sourced from foundit
Skills
historianSCADAmesgoogle cloud platformamazon web servicesindustrial iotsimulation modelingIndustry 4.0Cloud-native solutionsSmart Factorydigital twin solutionsERPMicrosoft AzurePredictive AnalyticsArtificial IntelligenceMachine Learning
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