JobsSenior Solutions Architect, Retail
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Senior Solutions Architect, Retail

NVIDIA

Location

remote

Type

Full-time

Posted

5/10/2026

Compensation

$184,000 - $356,500 per year

PhD with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025

Job description

NVIDIA is seeking a Solutions Architect to develop innovative Agentic AI solutions for top Retail, CPG, and QSR companies. The role involves collaborating with partners to build and deploy sophisticated AI-native systems, focusing on multi-agent coordination and performance optimization. The architect will leverage NVIDIA's core technologies to transform LLM capabilities into high-performance enterprise agents. This position requires a strong background in AI and deep learning, along with hands-on experience in building generative AI applications.

Requirements

  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
  • 8+ years of experience in deep learning, machine learning, or distributed AI systems.
  • Strong programming and debugging experience in Python, C/C++, and Linux environments.
  • Background in using deep learning libraries like PyTorch or TensorFlow.
  • Hands-on experience building LLM and generative AI applications.
  • Experience working with agentic or multi-agent AI systems employing orchestration frameworks.
  • Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
  • Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.

Responsibilities

  • Build complex agentic systems featuring multi-agent coordination and advanced planning frameworks.
  • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines.
  • Optimize inference performance using GPU-accelerated frameworks and the NVIDIA AI infrastructure stack.
  • Build hands-on PoCs and reference architectures for production-grade generative AI pipelines.
  • Collaborate with Enterprise ISVs to integrate NVIDIA software into native platforms.
  • Collaborate with internal teams to improve NVIDIA software through real-world feedback.
  • Empower partner engineering teams through technical workshops and architecture reviews.
  • Scale global expertise by crafting reusable assets and documentation for agentic AI deployment.

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.

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