Senior Solutions Architect - Generative AI and RAG

NVIDIA

NVIDIA

Software Engineering, IT, Data Science
Bengaluru, Karnataka, India
Posted on Wednesday, January 31, 2024

At NVIDIA, our passion is working with the world's most challenging problems in LLM, MLLM ,Generative AI, RAGs using our innovative platforms. A Senior Solution Architect brings focus and technical expertise about NVIDIA technological advances to our partners and customers.


What You’ll Be Doing:

  • You will be part of our India Solution Architecture Team working with key Fortune 100 customers to drive NVIDIA technology adoption and secure innovative design wins in both Data Center, Edge and Cloud Deployments.

  • Develop and demonstrate solutions to customers based on NVIDIA’s LLM, MLLM ,RAG application frameworks, LLM optimization and scaled deployment frameworks

  • Work closely with customers to build innovative blueprints for key Industry use-cases on LLM,MLLM & RAG

  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for customers and growth of NVIDIA product features through customer feedback.

What we need to see

  • BTech/MS in Computer Science or equivalent experience.

  • Excellent in-depth hands-on understanding of NLP, LLM, MLLM,Generative AI , and RAG workflows

  • 5+ years’ experience as a Data Scientist with a proven track record in writing code in Python, PyTorch/ TensorFlow. C++ experience is a bonus

  • Ability to communicate your ideas/code clearly through GitHub, documentation, and presentations.

  • Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing

  • Effective verbal/written communication, and technical presentation skills

  • Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team

Ways to stand out from the crowd

  • External customer-facing skill set and background.

  • Development experience with NVIDIA software platforms, libraries, and GPUs

  • Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc

**We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and data science conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, colour, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.