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 compliance.

Highest-signal resume keywords

Kubernetes DeploymentLinux ExperienceAnsible AutomationNVIDIA AI Enterprise ToolsSovereign Cloud Experience

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Hard Skills

AI/ML Architecture DesignModel Lifecycle ManagementData Pipeline DevelopmentGovernance Framework ImplementationRisk ManagementHPC Architecture FamiliarityREST API IntegrationSecurity-by-Design PracticesTechnical Documentation CreationArchitectural Oversight

Soft Skills

CommunicationMentoringCollaborationProblem-SolvingLeadership

Tools & Technologies

KubernetesRancher RKE2Red Hat OpenShiftAnsibleSLURMNVIDIA BCMNVIDIA DCGMHigh-Performance Storage PlatformsCloud InfrastructureCompliance Frameworks

Industry Keywords

Sovereign AIDigital SovereigntyAI Risk ManagementEU AI ActGDPRHIPAAFedRAMPCJISMLOpsProfessional Services

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 frameworks
Evaluate and select technologies, cloud/on-premises infrastructure, and tooling aligned with sovereignty and risk-management constraints
Provide architectural oversight across implementation teams
Identify, assess, and manage risks across the AI solution lifecycle
Develop and implement governance frameworks embedding responsible AI, auditability, and continuous risk monitoring
Partner with security, compliance, legal, engineering, product, and delivery teams
Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring
Drive security-by-design across AI components, including encryption, access control, auditing, and safe model operation
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
Communicate architectural decisions to executives, delivery teams, engineers, and customers
Track developments in sovereign AI, regulation, digital sovereignty, and AI risk management
Contribute to whitepapers, presentations, and technical guidance
Mentor, coach, and develop solution and enterprise architects

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
Preferred: experience with Sovereign Cloud, MLOps, or compliance-led AI deployments
Preferred: familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks
Preferred: background in professional services, consulting, or large-scale transformation programs
Preferred: experience building a new sales motion or launching a net-new offering

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
Reasonable accommodation during the application or interview process for disabilities
Employee benefits information available through HPE’s US benefits portal