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NVIDIA

Senior Solutions Architect – Agentic AI

NVIDIA

Senior Solutions Architect leading engineering projects for Agentic AI partnerships at NVIDIA. Building and optimizing production-grade AI systems and architectures for strategic software companies.

Posted 7/16/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building enterprise-grade agentic AI systems, with a strong focus on model customization and post-training workflows. Proven ability to lead technical delivery and architecture reviews while leveraging extensive experience in Python and Linux environments.

Highest-signal resume keywords
Python ProgrammingLinux EnvironmentAgentic AI ArchitectureLLM Application DevelopmentGenerative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
EngineeringSolutions ArchitectureApplied MLTechnical DeploymentDebugging Skills
Tools & Technologies
PoC DevelopmentBenchmarkingReference Architectures
Certifications & Qualifications
BS/MS/PhD in Computer ScienceElectrical EngineeringAI/ML
Industry Keywords
Agentic AIModel CustomizationPost-Training Workflows

Tech Stack

Tools & technologies
LinuxPython

About the role

Key responsibilities & impact
  • Lead technical delivery for strategic Agentic AI partner engagements
  • Design and build enterprise-grade agentic systems
  • Lead deep architecture reviews with partner engineering teams
  • Build hands-on PoCs, benchmarks, reference architectures
  • Guide partners on model customization and post-training workflows

Requirements

What you’ll need
  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience
  • 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience
  • Strong programming and debugging skills in Python and Linux environments
  • Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production
  • Deep understanding of agentic AI architectures

Benefits

Comp & perks
  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities
  • Stock options