Jobs / India / Nvidia Corporation
Senior Solution Architect — Sales AI Applications
Nvidia Corporation · 🌍 India, Pune
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Nvidia Corporation
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: • Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. • Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. • Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. • Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. • Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. • Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. • Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. • Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: • A bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related technical field is encouraged. • 10+ years of professional software engineering experience, including building and operating production applications. • Experience developing full-stack applications with modern front-end, back-end, and web application technologies. • Proficiency in one or more languages or frameworks, such as Python, Java, JavaScript, React, Node.js, or similar technologies. • Experience designing APIs, distributed applications, data services, enterprise integrations, scalable cloud applications, databases, and messaging systems. • Experience integrating AI or machine learning capabilities through APIs, models, retrieval systems, or AI services. • Knowledge of software architecture, system design, security, testing, observability, and production operations. • Ability to lead technical initiatives, make informed engineering decisions, communicate with technical and non-technical teams, and mentor engineers. Ways to stand out from the crowd: • Experience building generative AI applications, including AI assistants, retrieval-augmented generation, agentic workflows, AI productivity tools, Python-based AI services, large language model APIs, vector databases, prompt engineering, or AI evaluation. • Experience combining traditional software systems with AI models and data pipelines and progressing AI capabilities from prototype through production. • Familiarity with responsible AI, data privacy, access controls, security, or enterprise AI governance. • Experience with Kubernetes, containers, microservices, infrastructure as code, DevOps practices, application performance, reliability, scalability, observability, cloud cost efficiency, or globally distributed engineering teams. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and h