Sr Solutions Architect, Generative AI

Nvidia; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Generous benefits package

Job summary

NVIDIA in Bengaluru seeks an experienced Generative AI Solution Architect with deep expertise in training, Speech AI, LLMs, and Agentic AI. You will architect end-to-end solutions using NVIDIA AI platforms and translate language challenges into scalable designs for customers.

You will lead workshops, support pre‑sales demonstrations, and guide GPU-accelerated training/inference of LLMs and RAG workflows, while staying ahead of evolving AI technologies.

Qualifications

• 8+ years in generative AI, with a focus on training LLMs and Speech AI.
• Proven track record deploying and optimizing LLM/Speech models for production.
• Deep understanding of state-of-the-art language models (GPT-3, BERT, etc.).
• Experience training/fine-tuning LLMs with TensorFlow, PyTorch, or Hugging Face Transformers.
• Deployment/optimization for efficient inference on GPUs.

Responsibilities

• Architect end-to-end generative AI solutions focusing on Speech AI, LLMs, Agentic and RAG workflows.
• Collaborate with customers to design tailored language solutions.
• Support pre-sales with demos of speech AI, LLM and RAG capabilities.
• Collaborate with NVIDIA engineering to evolve generative AI tech.
• Lead workshops to define LLM/RAG workflows and train models on NVIDIA platforms.
• Design and implement training strategies for LLMs on GPU clusters.
• Implement RAG-based workflows for content generation and retrieval.
• Stay updated on advances in language models and AI tech.
• Provide technical leadership on training and deployment best practices.

Skills

Generative AI

LLMs

Speech AI

Training LLMs

Agentic AI

RAG workflows

GPU cluster architecture

TensorFlow

PyTorch

Hugging Face Transformers

Education

B.Tech / MSc / PhD in CS or AI

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Hugging Face Transformers

Job description

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training , Speech AI , Large Language Models (LLMs) and Agentic AI . As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIAs generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing agentic and RAG-based workflows.

What you will be doing:

• Architect end-to-end generative AI solutions with a focus on Speech AI, LLMs, Agentic and RAG workflows.
• Collaborate closely with customers to understand their language-related business challenges and design tailored solutions.
• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of speech AI , LLM and RAG capabilities.
• Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies.
• Engage directly with customers to understand their language-related requirements and challenges.
• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and lead the training and optimization of Large Language Models using NVIDIA s hardware and software platforms.
• Implement strategies for efficient and effective training of LLMs to achieve optimal performance.
• Design and implement RAG-based workflows to enhance content generation and information retrieval.
• Work closely with customers to integrate RAG workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.
• Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

What we need to see:

• B. Tech , Masters or Ph. D. in Computer Science, Artificial Intelligence, or equivalent experience
• 8+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs) , Speech AI
• Proven track record of successfully deploying and optimizing LLM , Speech AI models for inference in production environments.
• In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures.
• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.
• Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference.
• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways to stand out from the crowd:

• Proven ability to optimize LLM models , Speech models for inference speed, memory efficiency, and resource utilization.
• Familiarity with containerization technologies (e. g. , Docker) and orchestration tools (e. g. , Kubernetes) for scalable and efficient model deployment.
• Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.
• Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.