Apj Advisory and Professional Services Sovereign Ai Enterprise Architect Job at Hewlett Packard Enterprise (Mumbai)

Job Description

APJ Advisory and Professional Services Sovereign AI Enterprise Architect. This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. 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.

Job Responsibility

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 multiple internal functions within HPE
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

Requirements

Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes) - microk8s and kubespray should not be considered demonstrated background
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
10+ years’ experience in enterprise sales or sales leadership within IT services, cloud, AI/ML, or data/analytics domains
5+ years hands-on Linux experience
Strong grounding in data architecture, ML lifecycle, cloud platforms (AWS/Azure/GCP/Greenlake), MLOps tooling, security/privacy frameworks, APIs/integration patterns, with the ability to translate technical concepts into business value
Proven experience selling complex technology solutions to enterprise and/or public sector organizations
Demonstrated ability to influence teams without direct authority across GEOs, business units, and matrix environments
Exceptional communication skills with the ability to translate technology into business value
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

Nice to have

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

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