Principal Architect

Job Description This is a remote position. Job Description – Principal Architect Location: Bangalore, India Experience: 14+ Years Domain: Manufacturing / Automotive / AI / Computer Vision / Edge AI About the Role We are looking for a highly accomplished technology leader to join us as Principal Solutions Architect The ideal candidate will bring deep expertise in Manufacturing and Automotive domains along with strong experience in AI/ML, Computer Vision, Edge AI, ADAS, Digital Transformation, and Enterprise Solution Architecture. This role requires a visionary leader capable of driving large-scale technology initiatives, architecting next-generation AI-powered platforms, engaging with global customers, and leading high-performing engineering teams across multiple domains. Key Responsibilities Define and drive the overall technology roadmap for Manufacturing and Automotive solutions. Architect scalable AI/ML, Computer Vision, and Edge AI platforms for enterprise customers. Lead end-to-end solution design across cloud, embedded systems, and edge computing environments. Drive innovation in ADAS, smart manufacturing, predictive analytics, automation, and industrial AI applications. Engage with customers, leadership teams, and stakeholders to translate business problems into scalable technology solutions. Lead cross-functional engineering teams across AI/ML, Computer Vision, Cloud, Mobile, and Embedded technologies. Build reusable frameworks, accelerators, and platforms to improve engineering efficiency and solution scalability. Mentor architects, engineering managers, and senior technical teams. Support pre-sales, solution consulting, proposal creation, customer presentations, and technology strategy discussions. Collaborate with global customers and partners to deliver high-impact digital transformation programs. Ensure delivery excellence, innovation, and technical governance across projects. Required Skills & Expertise Strong experience in Manufacturing and Automotive domain solutions. Expertise in Computer Vision, Deep Learning, Machine Learning, and AI-based product development. Hands-on experience with Edge AI, Embedded Systems, ADAS, and real-time vision pipelines. Strong proficiency in C++, Python, AI/ML frameworks, and optimization techniques. Experience with cloud platforms such as Azure/AWS/GCP. Strong understanding of end-to-end system architecture, scalability, and enterprise integrations. Experience in leading large engineering teams and managing customer engagements. Strong problem-solving, stakeholder management, and leadership capabilities. Preferred Experience Experience working with Automotive OEMs, Tier-1 suppliers, or Industrial Manufacturing customers. Exposure to MedTech, FMCG, or Industrial AI transformation programs is an added advantage. Experience in building reusable AI accelerators/frameworks. Strong knowledge of ADAS systems, intelligent automation, and smart factory initiatives. Education Bachelor’s or Master’s degree in Computer Science, Electronics, AI/ML, Embedded Systems, or related field.