Solutions Architect, Agentic Ai

NVIDIA

Base: 152,000 usd - 241,500 usd; bonus/equity: equ...
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Multi-agent coordination
Rag-integrated workflows
Accelerated inference
** NVIDIA is seeking a Solutions Architect for its Agentic AI team, responsible for developing and deploying advanced AI-native systems in collaboration with enterprise software companies. The ideal candidate should have extensive experience in deep learning, multi-agent systems, and proficiency in programming languages like Python and C/C++. The position offers a competitive salary, equity options, and a commitment to diversity within the workplace. **

Job Summary

  • Collaborate with top-tier enterprise software companies to build and deploy sophisticated AI-native systems focusing on multi-agent coordination, RAG-integrated workflows, and accelerated inference.
  • Master NVIDIA’s core technologies—NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit—to guide partners through performance optimization and production-grade deployment.
  • Transform raw LLM capabilities into high-performance, industry-focused enterprise agents by building complex agentic systems and full-scale solutions.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Solutions Architect for its Agentic AI team, responsible for developing and deploying advanced AI-native systems in collaboration with enterprise software companies. The ideal candidate should have extensive experience in deep learning, multi-agent systems, and proficiency in programming languages like Python and C/C++. The position offers a competitive salary, equity options, and a commitment to diversity within the workplace. **

Salary

Base: 152,000 USD - 241,500 USD; Bonus/Equity: Equity eligible; Benefits: Benefits eligible

Skills & Requirements

Must-have

  • multi-agent coordination
  • RAG-integrated workflows
  • accelerated inference
  • NVIDIA AI infrastructure stack
  • Python, C/C++, Linux
  • PyTorch or TensorFlow
  • LLM and generative AI applications
  • tool-using AI agents

Nice-to-have

  • LLM evaluation frameworks
  • benchmarking systems
  • safety guardrails
  • Kubernetes/OpenShift
  • CI/CD automation
  • cloud-native deployment patterns

Key Requirements

  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience
  • More than 5 years of experience in deep learning, machine learning, or distributed AI systems
  • Experience with agentic or multi-agent AI systems employing frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks
  • Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures
  • Excellent interpersonal skills

Work Rights

Not specified

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