Job Title: Industry Solutions Architect (Intelligent Automotives) 

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 Automotive. 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, 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. 

• Apply knowledge of automotive processes (vehicle design, manufacturing, supply chain, after-sales). 

• 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. 

• 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. 

• Incorporate AI-driven predictive analytics, generative AI, robotics and digital twin technologies into proposals as and when needed. 

• Identify and integrate industry-specific partners, 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, and Industrial Metaverse in solution architectures. 

• Stay updated on emerging technologies (AI (LLMs, VLMs, computer vision for autonomous driving, edge AI for real-time decisions etc.), GenAI, IoT, cloud, edge, networking, 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 industry trends, digital transformation drivers, and operational challenges. 

• Deep understanding of OEMs, Tier 1/2 suppliers, dealer management systems and aftermarket ecosystems. 

• Familiarity with vehicle lifecycle: design, manufacturing, supply chain, sales, service, and end-of-life. 

• Awareness of mobility trends: EVs, autonomous vehicles, software defined vehicles, connected cars, shared mobility. 

• Understanding of predictive maintenance, smart manufacturing, vehicle telemetry systems, IoT platforms, computer vision, PLM and MES systems 

• Proficiency in cloud platforms (Azure, AWS, GCP) and edge computing for in-vehicle and plant-level 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, GenAI, IoT, digital twins, and industry automation and smart manufacturing technologies. 

Preferred Attributes: 

• Strategic thinker with ability to translate AI innovations into automotive business value. 

• Excellent communication and stakeholder management skills. 

• Passion for smart mobility and digital transformation in automotive. 

• Ability to take an enterprise wide look as well as dig deeper in a technical problem posed by a customer