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2 дня назад

Lead AI Consultant (Nvidia)

Формат работы
remote (только Canada)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead AI Consultant (Nvidia): Leading end-to-end AI engagements for enterprise clients with an accent on architecture design and production deployment within the NVIDIA ecosystem. Focus on building GenAI and Agentic AI solutions, driving pre-sales, and optimizing production-grade AI architectures on GPU-accelerated infrastructure.

Location: Must be based in Canada (Remote/Hybrid)

Company

hirify.global is a global digital solutions company providing software development and consulting services.

What you will do

  • Lead AI engagements from discovery through architecture design to production implementation.
  • Design and validate production-grade AI architectures using NVIDIA NeMo, NIM, Triton, Riva, and Omniverse.
  • Translate complex business challenges into actionable AI use-case definitions and reference architectures.
  • Define infrastructure requirements for GenAI and Agentic AI, including Kubernetes orchestration and GPU partitioning.
  • Benchmark LLM serving stacks and tune deployment configurations to meet latency, throughput, and cost targets.
  • Drive pre-sales activities, including proposals, discovery sessions, and workshops for GenAI initiatives.

Requirements

  • 6+ years of experience in AI consulting, GenAI/Agentic AI development, or Deep Learning.
  • Hands-on expertise in the full lifecycle of LLMs/VLMs and multimodal AI.
  • Practical experience with at least three NVIDIA platforms (e.g., NeMo, NIM, Riva, Triton).
  • Strong proficiency in Python and AI/ML frameworks like PyTorch, TensorFlow, and Hugging Face.
  • Experience deploying AI workloads on Kubernetes and self-hosted stacks like vLLM or Ollama.
  • Proven ability to lead pre-sales engagements and manage executive-level stakeholders.

Culture & Benefits

  • Opportunity to work on cutting-edge GenAI projects with NVIDIA ecosystem technologies.
  • Collaborative environment working with global engineering teams and NVIDIA stakeholders.
  • Commitment to equal opportunity and inclusive workplace practices.
  • Professional growth through mentorship and strategic alliance contributions.

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