This is a remote position.
Job Description – Principal ArchitectWe 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.
- 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.
- 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.
- 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.
- Bachelor’s or Master’s degree in Computer Science, Electronics, AI/ML, Embedded Systems, or related field.
Skills Required
- Strong experience in Manufacturing and Automotive domain solutions.
- Expertise in Computer Vision, Deep Learning, and Machine Learning.
- Hands-on experience with Edge AI, Embedded Systems, ADAS, and real-time vision pipelines.
- Strong proficiency in C++ and Python.
- Experience with AI/ML frameworks and optimization techniques.
- Experience with cloud platforms (Azure, AWS, GCP).
- Strong understanding of end-to-end system architecture, scalability, and enterprise integrations.
- Experience leading large engineering teams and managing customer engagements.
- Strong problem-solving, stakeholder management, and leadership capabilities.
- Bachelor's or Master's degree in Computer Science, Electronics, AI/ML, Embedded Systems, or related field.
- Experience working with Automotive OEMs or Tier-1 suppliers or Industrial Manufacturing customers.
- Exposure to MedTech, FMCG, or Industrial AI transformation programs.
- Experience building reusable AI accelerators/frameworks.
What We Do
Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations. We are a next generation technology services company specializing in developing products, platforms and solutions in Data & Artificial Intelligence (“Data/AI”), Engineering R&D (“ER&D”) and Digital Product Engineering Services (“PES”).
