Lead Nvidia AI Consultant (AI)

TL;DR

Lead Nvidia AI Consultant (AI/Nvidia Stack): Designing and delivering scalable enterprise AI architectures and driving AI adoption for clients with an accent on Nvidia technology stack integration and go-to-market strategy. Focus on translating complex business challenges into AI use-cases, optimizing GPU-accelerated inference, and implementing enterprise AI governance and MLOps.

Location: Remote or Office in Bulgaria or Poland

Company

hirify.global is a leading global digital transformation company specializing in AI and Data Science services.

What you will do

• Define AI strategies, design reference architectures, and implement scalable enterprise AI solutions.
• Translate complex business and operational challenges into AI use-case definitions and solution roadmaps.
• Support pre-sales activities, including proposals, technical discovery sessions, and GenAI proof-of-concept initiatives.
• Design and validate AI architectures using Nvidia technologies such as NeMo, NIM, Triton, Riva, and Omniverse.
• Contribute to Nvidia alliance GTM strategy by shaping industry offerings and reusable accelerators.
• Guide organizations on AI governance, MLOps, model lifecycle management, and deployment best practices.

Requirements

• 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning.
• Proficiency in Python and modern AI/ML frameworks including PyTorch, TensorFlow, Pandas, and Hugging Face.
• Practical experience across the full AI lifecycle, from experimentation and fine-tuning to deployment and monitoring.
• Experience designing and deploying AI solutions in cloud environments (AWS, Azure, or GCP).
• Understanding of GPU-accelerated platforms and inference optimization (TensorRT, CUDA, Triton, ONNX).
• Strong advisory and stakeholder management skills for presenting to executive leadership.

Nice to have

• Hands-on experience with Nvidia AI ecosystem platforms (NeMo, NIM, Riva, Metropolis, Omniverse, Triton).
• Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, or Engineering.

Culture & Benefits

• Opportunity to work within a dedicated AI and Data Science Center of Excellence.
• Drive thought leadership through whitepapers, technical blogs, and conference presentations.
• Mentor engineering and consulting teams on the Nvidia ecosystem.
• Inclusive work environment as an Equal Opportunity Employer.