Lead Nvidia AI Consultant

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. Responsibilities 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 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning areas Strong expertise in Generative AI, multimodal AI, transformers, LLMs, VLMs 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, executives, and leadership audiences Experience supporting go‑to‑market initiatives, customer discovery workshops, solution positioning, and technical pre‑sales engagements Understanding of enterprise architecture, cloud computing, distributed systems, Big Data, SDLC, MLOps, and AI governance practices Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred Strong communication, collaboration, analytical, and problem‑solving skills 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. We offer Flexible Work Model: Work from home, from the office, or in a hybrid format that supports focus and collaboration. Competitive, market‑based pay: benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.

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