Senior Solutions Architect, Generative AI
NVIDIA Corporation (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 50–90 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect and deliver end-to-end generative AI solutions focused on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
- Collaborate with customers and internal teams to design tailored AI solutions, lead workshops, and support pre-sales technical activities.
- Lead training, optimization, and integration of LLMs using NVIDIA hardware/software to achieve optimal performance and scalability.
Minimum Requirements
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
- 10+ years of hands-on technical experience focused on generative AI, particularly training and deploying LLMs.
- Deep expertise with state-of-the-art language models (e.g., GPT-3, BERT) and frameworks like TensorFlow, PyTorch, or Hugging Face.
- Proficiency with GPU cluster architectures and optimization for LLM training and inference on GPUs.
Ideal Candidate Profile
- Demonstrated success optimizing LLMs for production inference speed, memory efficiency, and resource usage.
- Experience with containerization (Docker) and orchestration (Kubernetes) for scalable AI deployments.
- Strong knowledge of NVIDIA GPU technologies and cluster management for distributed parallel computing workloads.