Solutions Architect, Agentic AI

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 43 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

As a Solution Architect at NVIDIA AI Enterprise (NVAIE) SA Segment Team, you will drive the development of agentic AI applications by leveraging cutting-edge technologies such as Test Time Compute, Reinforcement Learning, and inference optimization. Your daily tasks include integrating enterprise data sources into meaningful AI agents, developing high-impact solutions like deep research assistants and multi-modal dialogue systems, and collaborating closely with engineering teams to ensure successful adoption at scale. You will need a strong background in Deep Learning and Machine Learning, proficiency in Python, C/C++, and Linux, as well as experience with GPUs and frameworks like TensorFlow or PyTorch. Additionally, expertise in building advanced multi-agent systems using libraries such as LangGraph and LlamaIndex is essential, along with skills in fine-tuning large language models, deploying production-grade applications on Kubernetes, and ensuring the safety and reliability of agentic AI workflows through robust evaluation harnesses and testing pipelines.

Skills

Python TensorFlow PyTorch Kubernetes OpenShift CI/CD Linux C C++ GPU LangGraph LlamaIndex CrewAI Prometheus Grafana PostgreSQL AWS Azure GoogleCloud

What you'll do

  • Develop innovative AI agents using cutting-edge techniques like Test Time Compute and Reinforcement Learning.
  • Integrate enterprise data sources into agentic applications to create high-impact solutions for diverse workflows.
  • Provide technical guidance on the successful adoption of NVIDIA AI Enterprise Software in production environments.
  • Engage with engineering teams to stay updated on latest AI advancements and apply them effectively.
  • Build evaluation frameworks and automated testing pipelines to ensure safety, reliability, and scalability of agentic AI systems.

What we're looking for

  • 5+ years of experience in Deep Learning and Machine Learning with strong software engineering skills.
  • Proficiency in Python, C/C++, Linux, and GPU computing with expertise in TensorFlow or PyTorch.
  • Experience building advanced multi-agent systems using libraries like LangGraph, LlamaIndex, CrewAI.
  • Ability to develop evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks.
  • Skilled in fine-tuning reasoning-focused large language models (LLMs) and secure cloud-native infrastructure deployment.

Market check

Salary context

This $152,000–$241,500 range sits above 47% of similar postings on FindRole.

Peer median band

$160,950–$239,550

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000–$240,800

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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