Sr. AI Architect - Enterprise (US)

HPE is seeking a senior AI Architect to work with our customers within our Advisory and Professional Services organization. The AI Architect will be responsible for leading the architecture strategy and governance for AI-enabled solutions.

This role will serve as the bridge between our customers’ strategic objectives and our technical vision that translate complex needs into scalable AI solutions that adhere to national, regulatory, and organizational sovereignty standards., 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.

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., Required

• Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes)
• 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.

United States of America: Annual Salary USD 183,000 - 378,000 in California & New York // 161,000 - 378,000 in Georgia & North Carolina & 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%.”

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE., Hewlett Packard Enterprise is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. At HPE, we are focused on three essential building blocks for modern IT:

Networking, to connect your data more securely and efficiently.

Hybrid cloud, to give you the flexibility to run workloads where it makes the most sense.

And AI, to help you unlock the full value of your data to accelerate outcomes.

Together, these three elements form the foundation of a modern IT strategy and architecture. AI is only as good as the data and infrastructure behind it, so getting the IT foundation right is essential.