Senior Solutions Architect, Gen AI

About the role

Join us in this exciting endeavor as a Solutions Architect skilled in full cycle Gen AI development and deployment. You will work with key hotel and transportation chains to integrate accelerated computing and AI into their stacks, engaging directly with developers, researchers, and data scientists.

Responsibilities

• Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack.
• Guide customers to develop and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
• Build demonstrations and POCs for solutions that address critical business needs of our customers.
• Help in drafting requirements for missing features to unblock progress at customers/partners.
• Educate customers on new NVIDIA GenAI technologies and platforms.
• Prepare and deliver technical training presentations and workshops.
• Build collateral (notebooks/blog) applied to industry use-cases.
• Partner with NVIDIA engineering, product, sales teams to secure design wins at customers.
• Enable 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 Gen AI.
• Proficient in the latest and greatest model architectures and be able to articulate the computational complexities of each.
• Proven track record of deploying and optimizing LLM models for inference in production environments using well-known inferencing engines like vLLM, TRT-LLM, SGLang, etc.
• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.
• Experience with basic DevOps tools like Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.
• Excellent communication and teamwork skills with the ability to explain complex technical concepts to both technical and non-technical collaborators.
• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Qualifications

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

Skills

• Strong technical skills in AI, machine learning, and deep learning.
• Ability to communicate complex technical concepts effectively.
• Experience with AI and ML frameworks and tools.
• Knowledge of cloud computing platforms.

Benefits

Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500. You will also be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500.

Schedule

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.