Deal Solution Architect

Job Title: Industry Solutions Architect (Intelligent Manufacturing)   Location:  India   Role Overview:   We are seeking a highly experienced Solutions Architect to support strategic deal pursuits originating from our Industry Business Development team for Manufacturing. This role is pivotal in shaping and delivering industry-specific, cross-functional solutions that align with client needs and our portfolio of offerings. They will be responsible for crafting compelling, scalable, and technically sound solutions that integrate frontier technologies with traditional enterprise systems and bridge cross-functional offerings into cohesive, client-ready solutions.   Key Responsibilities:   Lead the end-to-end solutioning of 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 to understand client needs, pain points, and strategic goals.   Design customized solution architectures that 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 a trusted advisor to 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).   Support client presentations, workshops, and orals with clear articulation of value propositions.   Bring deep industry knowledge to 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 integrate industry-specific accelerators, frameworks, and IP into proposals.   Contribute to the development 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+ years of experience in solution architecture, consulting, or pre-sales roles.   Proven track record of solutioning large, complex deals in one or more of the target industries.   Experience in crafting RFP/RFI responses and client-specific solution presentations.   Strong understanding of manufacturing 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 in cloud platforms (Azure, AWS, GCP) and edge computing for 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 with cross-functional teams across geographies and service lines.   Excellent communication, presentation, and interpersonal skills.   Exposure to OT, 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