Job Title:Industry Solutions Architect (Intelligent Manufacturing)
Location:India
Role Overview:
We are seeking a highly experienced Solutions Architectto support strategic deal pursuits originating from ourIndustry Business Developmentteam for Manufacturing. This role is pivotal in shaping and deliveringindustry-specific, cross-functional solutionsthat align with client needs and our portfolio of offerings. They will be responsible for crafting compelling, scalable, and technically sound solutions that integratefrontier technologieswith traditional enterprise systems and bridge cross-functional offerings into cohesive, client-ready solutions.
Key Responsibilities:
- Lead theend-to-end solutioningof complex, multi-disciplinary deals across technology, service lines, and technology practices e.g. Cloud, Data & AI, Security, Consulting, Finance, App Dev etc.
- Collaborate with business development teams tounderstand client needs, pain points, and strategic goals.
- Designcustomized solution architecturesthat align with client objectives and leverage our full suite of offerings.
- Develop pricing models, delivery frameworks, and risk mitigation strategies.
- Align commercial terms with solution architecture.
- Support contract structuring and negotiation.
- Act as atrusted advisorto internal and external stakeholders during pre-sales and solutioning phases.
- Conduct client workshops and discussions showcasing AI-enabled manufacturing use cases (e.g., predictive maintenance, quality control, supply chain optimization) and apply knowledge of manufacturing processes (discrete, process, and hybrid manufacturing).
- Supportclient presentations, workshops, and oralswith clear articulation of value propositions.
- Bringdeep industry knowledgeto inform solution design, including regulatory, operational, and competitive landscapes.
- Ensure solution integrity, scalability, and cost optimization.
- Mitigate delivery risks through robust architecture and governance frameworks.
- Identify and integrateindustry-specific accelerators, frameworks, and IPinto proposals.
- Contribute to thedevelopment of reusable assets, templates, and playbooks for industry solutioning.
- Champion adoption of AI, IoT, Digital Twins, robotics, and industrial metaverse in solution architectures as and when required.
- Stay updated on emerging technologies(AI (computer vision for defect detection, generative AI for design optimization, edge AI for real-time decisions etc.), GenAI, IoT, cloud, edge computing, networking, IT/OT convergence etc.) and their application in industry contexts.
Required Qualifications:
- 15+ yearsof experience in solution architecture, consulting, or pre-sales roles.
- Proven track record ofsolutioning large, complex dealsin one or more of the target industries.
- Experience incrafting RFP/RFI responses and client-specificsolution presentations.
- Strong understanding ofmanufacturing industry value chain, trends, transformation drivers, and operational challenges.
- Experience with integrating and implementing one or more of MES/MOM, SCADA, PLC/DCS, CMMS, APM, UNS and other Manufacturing Technology solutions.
- Proficiency incloud platforms(Azure, AWS, GCP) andedge computingfor end user and plant-level solutions.
- Experience with implementing distributed manufacturing solutions, including those on hyperscalers and advanced understanding technology solution architecture design for full stack manufacturing solutions.
- Experience working withcross-functional teamsacross geographies and service lines.
- Excellentcommunication, presentation, and interpersonal skills.
- Exposure toOT, Industry 4.0, AI/ML frameworks, GenAI, IoT, digital twins, computer vision, robotics and industry automation technologies.
Preferred Attributes:
- Strategic thinker with ability to translate AI innovations into manufacturing business value.
- Excellent communication and stakeholder management skills.
- Passion for smart manufacturing and digital transformation.
- Ability to take an enterprise wide look as well as dig deeper in a technical problem posed by a customer