Lead Nvidia AI Consultant

About The Role

In this role, you will serve as a technical advisor and thought leader for enterprise AI transformations powered by the Nvidia technology stack — designing, validating, and delivering scalable AI architectures — within Soft Serve's AI and Data Science Center of Excellence. Working closely with clients, Nvidia stakeholders, and internal engineering teams, you'll drive AI adoption and shape go-to-market solutions that deliver measurable business outcomes.

• Strategy definition through architecture and implementation
• Translate complex business and operational challenges into AI use-case definitions, solution roadmaps, and reference architectures aligned with client scope
• Support pre‑sales activities, including proposals, solution positioning, customer workshops, GenAI proof‑of‑concept initiatives, and technical discovery sessions
• Design and validate AI architectures leveraging Nvidia technologies, including NeMo, NIM, Triton, Riva, Deep Stream, Metropolis, and Omniverse
• Contribute to Nvidia alliance go‑to‑market strategy by shaping industry offerings, reusable accelerators, demos, and solution blueprints
• Guide organizations on enterprise AI governance, MLOps, model lifecycle management, scalability, observability, and deployment best practices
• Drive thought leadership through whitepapers, technical blogs, conference presentations, demos, and industry events
• Mentor engineering and consulting teams on Nvidia ecosystem technologies

• 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning areas
• Hands‑on experience with Python and modern AI/ML frameworks, including PyTorch, Tensor Flow, Pandas, Num Py, Hugging Face
• Practical experience across the full AI lifecycle, including experimentation, fine‑tuning, optimization, deployment, inference, and monitoring
• Experience working with Nvidia AI technologies, including NeMo, NIM, Riva, Metropolis, Omniverse, Triton, or related ecosystem platforms preferred
• Experience designing and deploying AI solutions in at least one cloud environment, like AWS, Azure, GCP
• Understanding of GPU‑accelerated AI platforms and inference optimization technologies such as Tensor
  
  RT, Triton Inference Server, CUDA, Deep Stream, ONNX, or similar
• Strong advisory and stakeholder management capabilities with experience presenting to stakeholders, executive, and leadership audiences
• Experience supporting go‑to‑market initiatives, customer discovery workshops, solution positioning, and technical pre‑sales engagements
• Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred

Soft Serve is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.