Solutions Architect - Gen AI job opportunity at NVIDIA.

Home Jobs In India Tag: Job Solutions Architect - Gen AI position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Solutions Architect - Gen AI
Experience: 8-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeGeneral
loacation India, Bengaluru, India
loacation India, Bengalu..........India

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training 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 NVIDIA's 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 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 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 l ead 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 s tay 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 ,Master's 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). Proven track record of successfully deploying and optimizing LLM 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 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 you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Other Ai Matches

Senior Deep Learning Engineer - Model Evaluation & AI Systems Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Engineer - Networking Applicants are expected to have a solid experience in handling Job related tasks
Manufacturing Test Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Memory System Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Automotive Sensor Ecosystem Engineer - Autonomous Vehicles Applicants are expected to have a solid experience in handling Job related tasks
Senior System Software Engineer - Data Engineering Applicants are expected to have a solid experience in handling Job related tasks
Global Head of Business Development, Digital Health Applicants are expected to have a solid experience in handling Digital Health related tasks
Firmware Manager - NVLink Applicants are expected to have a solid experience in handling Job related tasks
Senior Lab Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Solution Architect, HPC - NVIS Applicants are expected to have a solid experience in handling HPC - NVIS related tasks
ASIC Physical Design Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Performance Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior CAD Engineer - DFX Software Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Test Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior SRAM Co-Design Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior HPC and AI Networking Performance Research and Analysis Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior GenAI Technical Lead, Partner Platforms Applicants are expected to have a solid experience in handling Partner Platforms related tasks
Global Commodity Manager, Semiconductors Applicants are expected to have a solid experience in handling Semiconductors related tasks
Senior Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Senior Software Architect - Deep Learning and HPC Communications Applicants are expected to have a solid experience in handling Job related tasks
Senior Counsel, Product Legal – Software Applicants are expected to have a solid experience in handling Product Legal – Software related tasks
Senior Manufacturing Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
Software QA Automation Infrastructure Engineer Applicants are expected to have a solid experience in handling Job related tasks