NVIDIA

3 months ago

Senior Solutions Architect - Generative AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead end-to-end generative AI solutions in the AI Solutions team, focusing on training LLMs, deployment, and Agentic AI workflows. Collaborate with customers to design language-model-based solutions, support pre-sales with technical demos, and work with NVIDIA engineers to evolve generative AI software, including RAG workflows and GPU-accelerated training.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect end-to-end generative AI solutions with a focus on LLMs training, deployment and Agentic AI workflows.
•Collaborate with customers to understand language-related business challenges and design tailored solutions.
•Support pre-sales activities with technical presentations and demonstrations of LLM and Agentic AI capabilities.
•Work with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.
•Lead workshops and design sessions to define and refine generative AI solutions, and lead the training and optimization of LLMs on NVIDIA hardware and software platforms.

Key Requirements

•Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
•5+ years of hands-on experience in a technical AI role, with a strong focus on generative AI and training Large Language Models (LLMs).
•Proven track record of deploying and optimizing LLM models for inference in production environments.
•In-depth understanding of state-of-the-art language models (e.g., GPT, Nemotron, or similar).
•Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.

Experience:5+ yearsArtificial intelligenceGenerative AILLMs

Education:Master's

Skills:CommunicationCollaborationPresentationProblem-solving

Tech Stack:TensorFlowPyTorchHugging Face TransformersGPUsDockerKubernetesAWSAzureGCP

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior Solutions Architect - Generative AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect end-to-end generative AI solutions with a focus on LLMs training, deployment and Agentic AI workflows.
•Collaborate with customers to understand language-related business challenges and design tailored solutions.
•Support pre-sales activities with technical presentations and demonstrations of LLM and Agentic AI capabilities.
•Work with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.
•Lead workshops and design sessions to define and refine generative AI solutions, and lead the training and optimization of LLMs on NVIDIA hardware and software platforms.

Key Requirements

•Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
•5+ years of hands-on experience in a technical AI role, with a strong focus on generative AI and training Large Language Models (LLMs).
•Proven track record of deploying and optimizing LLM models for inference in production environments.
•In-depth understanding of state-of-the-art language models (e.g., GPT, Nemotron, or similar).
•Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.

Experience:5+ yearsArtificial intelligenceGenerative AILLMs

Education:Master's

Skills:CommunicationCollaborationPresentationProblem-solving

Tech Stack:TensorFlowPyTorchHugging Face TransformersGPUsDockerKubernetesAWSAzureGCP

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor