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Senior Solutions Architect, Generative AI

NVIDIABengaluru, Karnataka, IndiaPosted 14 May 2026

NVIDIA is looking for a Senior Solutions Architect to lead generative AI initiatives. You will design LLM and RAG workflows, collaborate with customers on technical solutions, and optimize model training on NVIDIA hardware. The role requires deep expertise in AI frameworks and GPU architecture. This is a technical leadership position focused on deploying advanced AI models at scale.

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Experience

8+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 1

What you will work on

NVIDIA is looking for a Senior Solutions Architect to lead generative AI initiatives. You will design LLM and RAG workflows, collaborate with customers on technical solutions, and optimize model training on NVIDIA hardware. The role requires deep expertise in AI frameworks and GPU architecture. This is a technical leadership position focused on deploying advanced AI models at scale.

TAL's take

Quality 95/1005/5 clarityTier 1 company

High-tier global company with specialized scope in cutting-edge Generative AI and LLM infrastructure.

The role has a very clear focus on GenAI solutions architecture, LLM training, and RAG workflows with specific technical requirements.

Salaries at NVIDIA

29.8 LPA average

Based on 42 Grapevine salary entries for NVIDIA.

View all salaries

Engineering

0 - 2 years | IC2

14 LPA average

Range: 5 - 21 LPA

Engineering

2 - 4 years | IC3

21 LPA average

Range: 20 - 22 LPA

Engineering

4 - 6 years | IC3

29 LPA average

Range: 23 - 35 LPA

Engineering

6 - 8 years | SDE 2

30 LPA average

Range: 17 - 37 LPA

Must haves

  • 8+ years of hands-on experience in generative AI
  • Expertise in training and fine-tuning LLMs
  • Proficiency in TensorFlow, PyTorch, or Hugging Face
  • Deep understanding of GPU cluster architecture
  • Experience deploying and optimizing LLM models for inference
  • Excellent communication and presentation skills

Tools and skills

generative aillmsragtensorflowpytorchhugging face transformersgpu cluster architectureparallel processing

Nice to have: docker, kubernetes, nvidia gpu technologies.

About the company

NVIDIA is a global technology leader and a flagship company in AI infrastructure.

Posts mentioning NVIDIA