Advisory and Professional Services Sovereign AI Enterprise Architect

USA Advisory And Professional Services Sovereign Ai Enterprise Architect (Us)

This role has been designated as 'Hybrid' with the expectation that you will work on average 2-3 days per week from an HPE office.

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.

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.

• 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…