Senior Solution Architect — Sales AI Applications

NVIDIA GraphicsPLtd,Pune; India; On-site; INR 3,200,000 - 5,600,000; Full time

Job summary

NVIDIA is seeking a Senior Solution Architect with full-stack software engineering experience to join our team and drive Sales AI applications. You will design, build, and evolve secure, scalable solutions that bring generative AI and intelligent workflows into everyday sales experiences.

You will collaborate across product, AI/ML, data, security, and engineering teams to deliver production-ready architectures, mentor engineers, and advance best practices in testing, CI/CD, and observability.

Qualifications

• Bachelor's degree or equivalent in CS, Engineering, or related field.
• 10+ years of professional software engineering experience including production apps.
• Experience developing full-stack apps with modern frontend, backend, and web tech.
• Proficiency in Python, Java, JavaScript, React, Node.js or similar.
• Experience designing APIs, distributed apps, data services, enterprise integrations, scalable cloud apps, databases, messaging systems.
• Experience integrating AI or ML capabilities via APIs, models, retrieval systems or AI services.
• Knowledge of architecture, system design, security, testing, observability, and production ops.
• Ability to lead tech initiatives, make informed engineering decisions, and mentor engineers.

Responsibilities

• 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 into secure, maintainable solutions and intuitive user experiences.
• Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications.
• Design architectures that support performance, availability, observability, security, scalability, and maintainability.
• Lead technical design discussions, evaluate approaches, and adopt emerging technologies.
• Improve engineering practices for testing, CI/CD, monitoring, and production readiness; resolve complex issues.
• Mentor engineers, share knowledge, and contribute to engineering standards and practices.

Skills

Full-stack development

Mentoring engineers

Communication with teams

Education

Bachelor's degree or equivalent

Tools

Python

Java

JavaScript

React

Node.js

Job description

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 hardworking people in the world working for us. If you’re creative, eager to tackle meaningful business problems, and enjoy having fun, NVIDIA is the perfect company to work for.