Sr. AI Architect - Enterprise
Listed on 2026-09-27
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IT/Tech
IT Consultant, Cybersecurity, Cloud Computing: Infrastructure & Operations, Information Security & Data Protection
Who We Are
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.
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.
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.
This is a teleworker position within the US that will require regular travel.
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.
- 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.
- 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.
- 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…
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