Lead Nvidia AI Consultant, REMOTE

  • 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, TensorFlow, Pandas, NumPy, 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 TensorRT, Triton Inference Server, CUDA, DeepStream, 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

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 SoftServe'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.

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

,[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, DeepStream, 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] Requirements: AI, Machine learning, Deep learning, Python, PyTorch, TensorFlow, pandas, NumPy, Cloud, AWS, Azure, CUDA, Stakeholder management, Degree Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.
Data publikacji: 2026-07-01
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