UKIMEA Advisory and Professional Services Sovereign AI Enterprise Architect

UKIMEA 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:

   

Sovereign AI Enterprise Architect

UKIMEA Advisory & Professional Services

Location: London

Type: Permanent, full time

About the Role

We are seeking a Sovereign AI Enterprise Architect to support strategic UKIMEA customers in designing, deploying, and scaling secure, high‑performance AI platforms. This role sits at the intersection of AI infrastructure, HPC, Kubernetes, and enterprise architecture, helping sovereign and regulated organisations build resilient, compliant AI environments.

You will act as a trusted technical advisor, working closely with customers, partners, and internal teams to architect end‑to‑end AI solutions—from bare metal and GPUs through to orchestration, operations, and governance.

Key Responsibilities

• Design and architect sovereign AI platforms for enterprise and public sector customers

• Lead end‑to‑end AI infrastructure deployments, from design through implementation

• Advise on Kubernetes-based AI platforms, GPU clusters, and HPC integrations

• Partner with stakeholders to translate business requirements into scalable architectures

• Support solution validation, performance tuning, and operational readiness

• Provide technical leadership across customer engagements and advisory projects

Required Technical Experience

Container Platforms & Automation

• Strong, demonstrated experience deploying and configuring enterprise Kubernetes platforms, including:

  • Rancher RKE2

  • Red Hat OpenShift

  • CNCF-compliant Kubernetes

Note: microk8s and kubespray alone are not considered sufficient enterprise experience

• 5+ years hands-on Linux experience (RHEL, Ubuntu)

• Strong background in Ansible automation frameworks

• Experience integrating platforms using REST APIs

AI, HPC & Accelerated Computing

• Familiarity with SLURM on Kubernetes frameworks (e.g. Slinky, SUNK)

• Strong understanding of distributed systems architecture (GPU clusters, multi-node training)

• Knowledge of HPC architectures, network topologies, and high-performance storage

• Experience with GPU and accelerator platforms (NVIDIA, AMD, or custom ASICs)

• Familiarity with CUDA, NCCL, and distributed training optimisation

• Knowledge of NVIDIA AI Enterprise tooling, including BCM and DCGM

Core Technical Skills

Infrastructure & Platforms

• High-performance storage (NVMe, parallel file systems, object storage)

• Data centre infrastructure (power, cooling, racks, redundancy)

• Advanced networking (InfiniBand, RoCE, RDMA, 100–800GbE fabrics)

• Virtualisation and containerisation (Docker, Kubernetes, OpenShift)

• Infrastructure as Code: Terraform, Ansible, Pulumi

AI & MLOps

• AI training and inference pipelines

• Model lifecycle management and MLOps platforms

• Data pipeline orchestration (Airflow, Kubeflow)

• Performance benchmarking and workload profiling

• Large-scale model deployment (on‑prem, edge, hybrid cloud)

Cloud, Security & Compliance

Cloud & Hybrid

• AI services across AWS, Azure, and GCP

• Hybrid cloud design and migration strategies

• Secure connectivity between on‑prem AI systems and cloud environments

• Cost optimisation for large-scale compute workloads

Security & Governance

• Zero-trust architecture principles

• Identity and Access Management (IAM)

• Data governance and privacy controls

• Secure multi‑tenant AI platforms

• Regulatory compliance (e.g. ISO, SOC 2, GDPR)

Operations & Reliability

• Observability and monitoring (Prometheus, Grafana, ELK)

• SLA/SLO design for AI workloads

• Capacity planning for GPU environments

• Incident management and root cause analysis

• High availability, fault tolerance, and disaster recovery planning

Soft Skills & Ways of Working

• Strong stakeholder engagement and communication skills

• Ability to collaborate across data science, infrastructure, and vendor teams

• Creation of high-quality technical documentation and architecture diagrams

• Experience working in Agile / DevOps environments

• Strategic mindset for scaling AI platforms and “AI factories”

Why Join Us

• Work on cutting-edge sovereign AI initiatives across UKIMEA

• Influence enterprise-scale AI architectures with real-world impact

• Collaborate with leading technology partners and customers

• Be part of a high-performing Advisory & Professional Services organisation

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.

#germany, #unitedkingdom

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.

   

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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.