Senior Sovereign AI Architect — Remote

Hewlett Packard Enterprise; Austin (TX); Remote; USD 183,000 - 378,000; Full time

Benefits offered by this job

Health insurance

Job summary

Hewlett Packard Enterprise seeks a senior AI Architect to lead architecture strategy for sovereign AI solutions, bridging customer objectives with technical vision. You will shape reference architectures, governance, and risk-aware designs across on-prem and cloud setups.

The role emphasizes deep AI/ML systems expertise, regulatory alignment, and strong customer-facing skills to guide executives and technical teams through critical decisions.

Qualifications

• Strong demonstrated background deploying and configuring enterprise Kubernetes environments.
• 5+ years hands-on Linux experience.
• Familiarity with SLURM on Kubernetes frameworks.
• Experience with Ansible automation frameworks.
• Familiarity with REST APIs for integrations.
• Knowledge of HPC architectures, networks, and storage.
• Experience with NVIDIA AI Enterprise tools BCM/DCGM.

Responsibilities

• Lead end-to-end architecture design for sovereign AI deployments and ensure regulatory compliance.
• Develop scalable, secure AI/ML reference architectures and governance frameworks.
• Evaluate technologies and tooling aligned to sovereignty requirements.
• Provide architectural oversight across teams and ensure risk mitigation.
• Create architecture docs, diagrams, and governance for AI models and deployment.
• Mentor architects and collaborate with security, legal, and product teams.
• Engage with customers and stakeholders to shape sovereign AI strategy.

Tools

Kubernetes (Rancher RKE2, OpenShift, CNCF Kubernetes)

Linux

SLURM on Kubernetes (Slinky, SUNK)

Ansible automation

REST APIs for product integrations

HPC architectures & high perf storage

NVIDIA AI Enterprise BCM & DCGM

Job description

Hewlett Packard Enterprise seeks a senior AI Architect to lead architecture strategy for sovereign AI solutions, bridging customer objectives with technical vision. You will shape reference architectures, governance, and risk-aware designs across on-prem and cloud setups.

The role emphasizes deep AI/ML systems expertise, regulatory alignment, and strong customer-facing skills to guide executives and technical teams through critical decisions.