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Senior Solutions Architect, Generative AI

Nvidia

Gurugram

10+ years

Today

$120.5K–120.5K/yr

Full-time

Onsite

Skills Required LLM

RAG

Agentic AI

Gen AI

GPT-3

Hugging Face

BERT

TensorFlow

PyTorch

Docker

Kubernetes

GPU

GPU cluster architecture

Distributed computing

Parallel processing

Description NVIDIA is seeking a Generative AI Solution Architect with expertise in training Large Language Models (LLMs) and Agentic AI to architect and deliver advanced generative AI solutions.

Company: NVIDIA

Role: Generative AI Solution Architect

Experience

- 10+ years of hands-on experience in a technical role focusing on generative AI
- Strong emphasis on training Large Language Models (LLMs)
- Proven track record of deploying and optimizing LLM models for inference in production

Qualification

- B.Tech in Computer Science or Artificial Intelligence or equivalent experience
- Master's degree in Computer Science or Artificial Intelligence or equivalent experience
- Ph.D. in Computer Science or Artificial Intelligence or equivalent experience

Responsibilities

- Architect end-to-end generative AI solutions focused on LLMs, Agentic and RAG workflows
- Collaborate with customers to understand language-related business challenges and design tailored solutions
- Support pre-sales activities with sales and business development teams including technical presentations and demonstrations
- Work with NVIDIA engineering teams to provide feedback and contribute to generative AI technology evolution
- Lead workshops and design sessions to define and refine generative AI solutions
- Lead training and optimization of Large Language Models using NVIDIA hardware and software
- Implement strategies for efficient training of LLMs to achieve optimal performance
- Design and implement RAG-based workflows to enhance content generation and information retrieval
- Integrate RAG workflows into customer applications and systems




- Provide technical leadership and guidance on best practices for training LLMs and implementing RAG solutions

Additional Responsibilities

- Stay abreast of latest developments in language models and generative AI technologies
- Engage directly with customers to understand their language-related requirements and challenges
- Excellent communication and collaboration skills to articulate complex technical concepts to technical and non-technical stakeholders
- Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences

Nice To Have

- Ability to optimize LLM models for inference speed, memory efficiency, and resource utilization
- Familiarity with containerization technologies such as Docker
- Experience with orchestration tools like Kubernetes for scalable model deployment
- Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts
- Hands-on experience with NVIDIA GPU cluster management
- Ability to design and implement scalable and effective workflows for LLM training and inference on GPU clusters

More Skills Large Language Models (LLMs), RAG workflows, Hugging Face Transformers, Model deployment and optimization, NVIDIA GPU technologies

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