Government AI Solutions Architect — Remote & Impactful

NVIDIA Corporation

United States

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

NVIDIA Corporation seeks a seasoned Solutions Architect to empower partners and customers in adopting AI solutions. You will shape strategic plans across national and regional levels, collaborate with cross-functional teams, and build resources that connect business strategy to real-world government needs.

The role requires hands-on work with computer vision, DL, and Gen AI, plus Python, PyTorch, and containerized environments. Travel and a flexible hybrid setup are possible.

Qualifications

  • Master’s degree or equivalent experience in a technical field.

Responsibilities

  • Empower and mentor partners, customers, and colleagues, sharing expertise to help them grow and succeed.
  • Shape and support strategic plans that drive innovation at national, regional, and city levels across global communities.
  • Create engaging resources—presentations, blogs, and notebooks connecting business strategy with government needs.
  • Collaborate with customers’ technical teams through hands-on field trials and solution deployments.
  • Define product requirements and champion enhancements to remove barriers for customers and partners.
  • Develop and demonstrate solutions using NVIDIA AI software and hardware technologies.

Skills

Python
PyTorch
Containers
Communication
Generative AI
Deep Learning

Education

Master’s degree in Computer Science / Electrical/Computer Engineering / Physics / Mathematics or equivalent

Tools

Kubernetes
Helm
Slurm
CI/CD
MLOps

Job description

NVIDIA Corporation seeks a seasoned Solutions Architect to empower partners and customers in adopting AI solutions. You will shape strategic plans across national and regional levels, collaborate with cross-functional teams, and build resources that connect business strategy to real-world government needs.

The role requires hands-on work with computer vision, DL, and Gen AI, plus Python, PyTorch, and containerized environments. Travel and a flexible hybrid setup are possible.

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