APJ Advisory and Professional Services Sovereign AI Enterprise Architect

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.

Job Description:

   

What you’ll do:

Responsibilities:

• 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

• 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.

What you need to bring:

Education and Experience:

• 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

Qualifications and Experience

Required

• 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.

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.

Core Technical Skills

• Distributed systems architecture (GPU clusters, multi-node training systems)
• High-performance computing (HPC) integration
• Data center infrastructure (power, cooling, rack design, redundancy)
• Networking (InfiniBand, RoCE, RDMA, 100–800GbE fabrics)
• Storage systems (NVMe, parallel file systems, object storage)
• Linux system administration (RHEL, Ubuntu, kernel tuning)
• Virtualization & containerization (Docker, Kubernetes, OpenShift)
• Infrastructure as Code (Terraform, Ansible, Pulumi)

🤖 AI/ML Infrastructure Knowledge

• AI training & inference pipelines
• GPU/accelerator integration (NVIDIA, AMD, custom ASICs)
• CUDA, NCCL, distributed training optimization
• MLOps platforms & model lifecycle management
• Data pipeline orchestration (Airflow, Kubeflow)
• Performance benchmarking & workload profiling
• Model deployment at scale (edge + cloud hybrid setups)

☁️ Cloud & Hybrid Integration

• Cloud platforms (AWS, Azure, GCP) AI services
• Hybrid cloud design & migration strategies
• Networking between on-prem AI clusters and cloud
• Cost optimization for large-scale compute workloads
• Security & compliance in AI environments

Security & Compliance

• Zero-trust architecture
• Identity & access management (IAM)
• Data governance & privacy controls
• Secure multi-tenant AI infrastructure
• Regulatory compliance (ISO, SOC 2, GDPR where applicable)

Systems Engineering & Integration

• End-to-end system validation & testing
• Hardware-software interoperability
• Vendor coordination (OEMs, GPU providers, networking vendors)
• Performance tuning & bottleneck analysis
• Fault tolerance & high-availability design
• Disaster recovery planning

Monitoring & Operations

• Observability tools (Prometheus, Grafana, ELK stack)
• Incident response & root cause analysis
• SLA/SLO design for AI workloads
• Capacity planning for GPU farms
• Automation of deployment pipelines (CI/CD)

🧠 Soft Skills

• Cross-functional collaboration (data scientists, infra teams, vendors)
• Technical documentation & architecture diagrams
• Stakeholder communication
• Project management (Agile, DevOps environments)
• Risk assessment & mitigation planning
• 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.

#india

#sales

Job:

Sales

Job Level:

TCP_05

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.