Senior AI Architect – Enterprise

Hewlett Packard Enterprise

. Lead end-to-end architecture design for sovereign AI deployments .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $128,800 - $302,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading architecture design for sovereign AI deployments, focusing on scalable and secure AI/ML reference architectures, governance frameworks, and risk management. Proficient in collaborating with cross-functional teams and advising stakeholders on AI strategy and implementation.

Highest-signal resume keywords

Kubernetes DeploymentLinux ExperienceAnsible AutomationNVIDIA AI Enterprise ToolsHPC Architectures

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Applicant Tracking System Keywords

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Hard Skills

KubernetesLinuxAnsibleREST APIsHPC ArchitecturesData PipelinesModel Lifecycle ManagementGovernance FrameworksRisk ManagementArchitectural Documentation

Soft Skills

MentoringCollaborationCommunicationProblem-SolvingLeadership

Tools & Technologies

Rancher RKE2Red Hat OpenShiftSLURMSlinkySUNKNVIDIA BCMNVIDIA DCGM

Industry Keywords

Sovereign AIAI/MLCloud InfrastructureComplianceAuditability

Tech Stack

Tools & technologies

AnsibleCloudKubernetesLinuxOpenShift

About the role

Key responsibilities & impact

Lead end-to-end architecture design for sovereign AI deployments
Develop scalable, secure AI/ML reference architectures covering model lifecycle management, data pipelines, inference infrastructure, and governance
Evaluate technologies, cloud/on-premises infrastructure, and tooling
Provide architectural oversight across implementation teams
Identify, assess, and manage risks across the AI solution lifecycle
Develop governance frameworks incorporating responsible AI, auditability, and continuous risk monitoring
Partner with security, compliance, legal, engineering, product, and delivery teams
Create architectural documentation, diagrams, and governance frameworks
Lead technical reviews and resolve architectural and integration issues
Advise C-suite, technical leaders, and regulatory stakeholders on sovereign AI strategy
Facilitate design workshops, discovery sessions, and technical deep-dives
Translate customer requirements into architectures and solution roadmaps
Contribute to sovereign AI thought leadership through whitepapers, presentations, and technical guidance
Mentor, coach, and develop solution and enterprise architects across locations

Requirements

What you’ll need

Strong demonstrated background deploying and configuring enterprise Kubernetes, including Rancher RKE2, Red Hat OpenShift, and CNCF Kubernetes
5+ years of hands-on Linux experience
Familiarity with SLURM on Kubernetes frameworks, including Slinky and SUNK
Strong demonstrated background working with Ansible automation frameworks
Familiarity with REST APIs for product integrations
Familiarity with HPC architectures, network topologies, and high-performance storage platforms
Knowledge of NVIDIA AI Enterprise tools, specifically BCM and DCGM, for deployment and management
Regular travel required
Ability to work within the US

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace culture
Disability accommodations during the application or interview process