Solutions Architect, Generative AI (Hospitality & Travel)

Employment Type: Full-time

Salary Range: $184,000 - $356,500 USD (based on location, experience, and pay equity)

Location Type: Not Specified

Position Overview

NVIDIA is seeking a Solutions Architect skilled in full-cycle Generative AI development and deployment to join our Hospitality and Travel Solutions Architecture team. You will assist key customers in adopting NVIDIA's full-stack technologies and building/deploying solutions around Generative AI and other GPU-accelerated technologies. This role involves direct engagement with developers, researchers, data scientists, and business/engineering teams at strategic customer accounts, influencing product strategy and providing technical expertise.

Responsibilities

• Provide hands-on technical mentorship to partners and customers on the NVIDIA GenAI stack.
• Guide customers in developing and deploying Agentic AI workflows on NVIDIA platforms, quantifying the benefits of accelerated computing.
• Build demonstrations and Proofs of Concept (POCs) for solutions addressing critical customer business needs.
• Assist in drafting requirements for missing features to facilitate customer and partner progress.
• Educate customers on new NVIDIA GenAI technologies and platforms through presentations and workshops.
• Develop industry-specific collateral, including notebooks and blog posts.
• Partner with NVIDIA engineering, product, and sales teams to secure design wins.
• Enable the development and growth of NVIDIA product features through customer feedback and POC evaluations.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
• 8+ years of hands-on experience in a technical AI role, with a strong emphasis on Generative AI.
• Proficiency in the latest model architectures and an understanding of their computational complexities.
• Proven track record of deploying and optimizing Large Language Models (LLMs) for inference in production environments using inferencing engines (e.g., vLLM, TRT-LLM, SGLang).
• Expertise in training and fine-tuning LLMs using popular frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Solid understanding of GPU cluster architecture and parallel processing for accelerated model training and inference.
• Experience with basic DevOps tools (e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell).
• Excellent communication and teamwork skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience leading workshops, training sessions, and presenting technical solutions.

Ways to Stand Out

• Experience with Agentic AI frameworks, tools, and protocols (e.g., LangChain, LangGraph, MCP).
• Understanding of Multimodal LLMs, Vision-Language Models (VLMs), etc.
• Experience deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
• Proven ability to profile and optimize inference latency, throughput, memory, and I/O utilization.
• Mathematical understanding of different parallelization techniques in Generative AI.

Company Information

NVIDIA is building the world's leading AI company. We are committed to fostering a diverse work environment and are proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Application Instructions: NVIDIA accepts applications on an ongoing basis.