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 Description:
Global Sales at HPE is about building the future. We are redefining what’s next and combining our legacy of innovation with a bold new goal to accelerate everything we do. Our sales organization is comprised of 10,000+ professionals in sales, presales, service, and support functions. Together with our partners, we deliver global, commercial, public sector & small/medium business customers throughout 11 geographies. We’re transforming businesses. Join us redefine what’s next for you.
What you’ll do:
Responsibilities:
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Strong demonstrated background deploying and configuring enterprise Kubernetes (Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes) - microk8s and kubespray should not be considered demonstrated background
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Familiarity with SLURM on Kubernetes frameworks (Slinky, SUNK, etc.)
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Strong demonstrated background working with Ansible automation frameworks
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Familiarity with leveraging REST APIs for product integrations
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Familiarity with HPC architectures, network topologies, and high performance storage platforms
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Knowledge of NVIDIA's AI Enterprise tools, specifically BCM and DCGM for deploying and managing
Architecture leadership
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Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements.
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Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks.
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Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints.
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Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies.
Risk management and governance
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Identify, assess, and manage risks across the AI solution lifecycle
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Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring.
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Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks.
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Embed security-by-design and risk-by-design in architecture, deployment, and operations.
Technical execution
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Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring.
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Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation.
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Partner with engineering, security, compliance, and product teams to ensure architectural integrity throughout execution.
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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.
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Translate complex customer requirements into actionable architectures and solution roadmaps
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Communicate architectural decisions and recommendations to executives, delivery teams, security, product engineers, and customers.
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Maintain tight alignment with multiple internal functions within HPE.
Sovereign AI Thought Leadership
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Stay ahead of global developments in sovereign AI, regulation, digital sovereignty trends, and AI risk management.
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Contribute to thought leadership initiatives through whitepapers, presentations, and technical guidance
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Serve as an ambassador for architectural excellence across geographies, ensuring alignment and knowledge sharing across regional teams.
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Mentor, coach, and develop solution and enterprise architects—building capability, consistency, and technical depth across locations.
What you need to bring:
Education and Experience:
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10+ years’ experience in enterprise sales or sales leadership within IT services, cloud, AI/ML, or data/analytics domains
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5+ years hands-on Linux experience
Qualifications and Experience
Required
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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.
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Proven experience selling complex technology solutions to enterprise and/or public sector organizations.
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Demonstrated ability to influence teams without direct authority across GEOs, business units, and matrix environments.
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Exceptional communication skills with the ability to translate technology into business value.
Preferred
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Experience with Sovereign Cloud, MLOps, or compliance-led AI deployments.
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Familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks.
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Background in professional services, consulting, or large-scale transformation programs.
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Previous experience building a new sales motion or launching a net-new offering.
Core Technical Skills
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Distributed systems architecture (GPU clusters, multi-node training systems)
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High-performance computing (HPC) integration
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Data center infrastructure (power, cooling, rack design, redundancy)
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Networking (InfiniBand, RoCE, RDMA, 100–800GbE fabrics)
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Storage systems (NVMe, parallel file systems, object storage)
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Linux system administration (RHEL, Ubuntu, kernel tuning)
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Virtualization & containerization (Docker, Kubernetes, OpenShift)
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Infrastructure as Code (Terraform, Ansible, Pulumi)
AI/ML Infrastructure Knowledge
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AI training & inference pipelines
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GPU/accelerator integration (NVIDIA, AMD, custom ASICs)
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CUDA, NCCL, distributed training optimization
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MLOps platforms & model lifecycle management
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Data pipeline orchestration (Airflow, Kubeflow)
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Performance benchmarking & workload profiling
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Model deployment at scale (edge + cloud hybrid setups)
- ️ Cloud & Hybrid Integration
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Cloud platforms (AWS, Azure, GCP) AI services
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Hybrid cloud design & migration strategies
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Networking between on-prem AI clusters and cloud
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Cost optimization for large-scale compute workloads
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Security & compliance in AI environments
Security & Compliance
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Zero-trust architecture
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Identity & access management (IAM)
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Data governance & privacy controls
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Secure multi-tenant AI infrastructure
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Regulatory compliance (ISO, SOC 2, GDPR where applicable)
Systems Engineering & Integration
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End-to-end system validation & testing
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Hardware-software interoperability
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Vendor coordination (OEMs, GPU providers, networking vendors)
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Performance tuning & bottleneck analysis
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Fault tolerance & high-availability design
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Disaster recovery planning
Monitoring & Operations
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Observability tools (Prometheus, Grafana, ELK stack)
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Incident response & root cause analysis
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SLA/SLO design for AI workloads
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Capacity planning for GPU farms
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Automation of deployment pipelines (CI/CD)
Soft Skills
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Cross-functional collaboration (data scientists, infra teams, vendors)
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Technical documentation & architecture diagrams
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Stakeholder communication
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Project management (Agile, DevOps environments)
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Risk assessment & mitigation planning
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Strategic thinking for scaling AI factories
Accountability, Accountability, Active Learning, Active Listening, Assertiveness, Bias, Building Rapport, Buyer Personas, Coaching, Complex Sales, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Interactions, Design Thinking, Empathy, Financial Acumen, Follow-Through, Growth Mindset, Identifying Sales Opportunities, Industry Knowledge, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 6 more}
Health & Wellbeing
We 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 Development
We 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 Inclusion
We 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
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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