USA Advisory and Professional Services Sovereign AI Enterprise Architect (US)
This role has been designated as 'Remote/Teleworker', which means you will primarily work from home.
Job Description:Job Title:Advisory and Professional Services Sovereign AI Enterprise Architect
This role has been designed as 'Hybrid' with the expectation that you will work on average 2-3 days per week from an HPE office.
Job Description:Join our Advisory and Professional Services organization, the global leader in delivering modern technology platforms, enabling businesses to accelerate time to value and elevate workforce skills. Our organization has expertise in platform migration and integration, AI, cyber-resilience, networking, IT sustainability and data center services.
The Sovereign AI Enterprise Architect is responsible for leading the architecture strategy and governance for AI-enabled solutions within the AI Factory and Sovereign AI solutions throughout the solution lifecycle - sales, presales and delivery.
This role will serve as the bridge between our customers' strategic objectives and our technical vision-translating complex needs into scalable AI solutions that adhere to national, regulatory, and organizational sovereignty standards.
The ideal candidate combines deep technical expertise in AI/ML systems architecture with exceptional customer-facing skills and the ability to guide senior stakeholders through critical decisions. This role will define reference architectures, drive solution design, and ensure that our sovereign AI offerings meet the highest standards of data privacy, security, performance, and operational resilience.
Responsibilities: Architecture leadership- Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements.
- Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks.
- Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints.
- Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies.
Risk management and governance- Identify, assess, and manage risks across the AI solution lifecycle
- Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring.
- Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks.
- Embed security-by-design and risk-by-design in architecture, deployment, and operations.
Technical execution- Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring.
- Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation.
- Partner with engineering, security, compliance, and product teams to ensure architectural integrity throughout execution.
- Lead technical reviews and guide the resolution of architectural and integration issues.
Customer engagement and stakeholder management - Serve as a trusted advisor to customers-C-suite, technical leaders, and regulatory stakeholders, helping them shape their sovereign AI strategy, facilitating design workshops, discovery sessions and technical deep-dives.
- Translate complex customer requirements into actionable architectures and solution roadmaps
- Communicate architectural decisions and recommendations to executives, delivery teams, security, product engineers, and customers.
- Maintain tight alignment with multiple internal functions within HPE.
Sovereign AI Thought Leadership- Stay ahead of global developments in sovereign AI, regulation, digital sovereignty trends, and AI risk management.
- Contribute to thought leadership initiatives through whitepapers, presentations, and technical guidance
- Serve as an ambassador for architectural excellence across geographies, ensuring alignment and knowledge sharing across regional teams.
- Mentor, coach, and develop solution and enterprise architects-building capability, consistency, and technical depth across locations.
Qualifications and ExperienceRequired- Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes) - microk8s and kubespray should not be considered demonstrated background
- 5+ years hands-on Linux experience
- Familiarity with SLURM on Kubernetes frameworks (Slinky, SUNK, etc.)
- Strong demonstrated background working with Ansible automation frameworks
- Familiarity with leveraging REST APIs for product integrations
- Familiarity with HPC architectures, network topologies, and high performance storage platforms
- Knowledge of NVIDIA's AI Enterprise tools, specifically BCM and DCGM for deploying and managing
Preferred- Experience with Sovereign Cloud, MLOps, or compliance-led AI deployments.
- Familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks.
- Background in professional services, consulting, or large-scale transformation programs.
- Previous experience building a new sales motion or launching a net-new offering.
What We Can Offer You:Health & WellbeingWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional DevelopmentWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional InclusionWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
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Job:Sales
Job Level:TCP_05
"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 161,000 - 378,000 in Texas
This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 80%/20%."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
