Senior Solutions Architect, Generative AI
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About the role
NVIDIA develops generative AI technologies and hardware for language, speech, and other AI workloads. This architect will design and deploy LLM, Speech AI, agentic, and RAG solutions, support customer engagements, and optimize model training and inference.
What you'll do
- Architect end-to-end generative AI, Speech AI, LLM, agentic, and RAG solutions
- Work with customers to design solutions for language-related business challenges
- Support pre-sales with technical presentations and demonstrations
- Lead workshops and design sessions for generative AI workflows
- Train and optimize LLMs using NVIDIA platforms
- Integrate RAG workflows into customer applications and systems
Skills
Must have
- Generative AI
- Large language models
- Speech AI
- RAG
- Agentic AI
- LLM training
- Model fine-tuning
- Model deployment
- Inference optimization
- GPU cluster architecture
Nice to have
- Distributed computing
- Parallel computing
Tools
- TensorFlow
- PyTorch
- Hugging face transformers
- Docker
- Kubernetes
Who it's for
- Education
- Engineering degree
- Degree
- computer science, artificial intelligence
- Experience
- 8+ years
- Domain
- ai infrastructure
About NVIDIA
NVIDIA has 36 open roles in Bangalore, at NVIDIA Bengaluru (Bagmane Capital Memphis South Tower). See every NVIDIA role.
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