NVIDIA
Solutions Architect, Generative AI
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Report job as expired
Job expiry date: 29/06/2025
Job overview
Date posted
15/05/2025
Location
Dubai, United Arab Emirates
Salary
AED 40,000 - 50,000 per month
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
PhD
Expiration date
29/06/2025
Job description
As a Solutions Architect for Generative AI at NVIDIA, you will work at the cutting edge of artificial intelligence, enabling enterprise clients and academic institutions to adopt and scale NVIDIAâs AI platform. You will lead technical strategy, integrate AI into enterprise IT infrastructures, and collaborate with engineering and product teams to develop full-stack generative AI solutions. Your role involves driving customer success by designing high-performance, scalable architectures, while showcasing NVIDIAâs technologies in real-world deployments. Youâll help partners harness the business value of state-of-the-art AI models in industries ranging from healthcare to finance and energy.
Required skills
Key responsibilities
- Lead technical strategy for integrating NVIDIA technology into customer IT infrastructure with a focus on scalable performance.
- Enable developers and data scientists to adopt and deploy NVIDIAâs Generative AI platform.
- Work closely with business managers to translate vision into technical roadmaps and impactful strategies.
- Educate and influence industry leaders by articulating business value from Generative and Agentic AI.
- Understand client goals and deliver high-impact, tailored AI solutions.
- Identify technology gaps and prototype innovative solutions.
- Collaborate across NVIDIA teams to develop full-stack AI solutions tailored to industry use cases.
- Provide technical guidance and best practices for deploying AI at scale using NVIDIA products.
Experience & skills
- MS or PhD in Computer Science, Engineering, Physics, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience working with deep learning frameworks including PyTorch and TensorFlow.
- Experience with Large Language Models (LLM) training and fine-tuning.
- Strong knowledge of training and deploying generative AI and foundation models.
- Hands-on experience with accelerated computing and high-performance computing environments.
- Strong analytical and organizational skills, able to operate independently in a dynamic environment.
- Excellent interpersonal and communication skills with fluency in English.
- Experience in multi-node distributed training and system optimization for deep learning.
- Willingness to travel occasionally for in-person collaboration with clients.
