Architect

Location

India

Posted

62 days ago

Salary

0

Seniority

Mid Level

Job Description

Architect

Veltris

Role Description 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. Qualifications - 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.

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