CrawlJobs Logo

Infrastructure Architect - Data & AI Platform

United Kingdom, Leeds 75000.00 - 85000.00 GBP / Year · Job Posted March 20, 2026
Apply Position
Job Link Share

Job Description

Join our team as an Infrastructure Architect. You'll play a big role in helping us to put home ownership within reach of more people, generation after generation. You'll be responsible for the design, development and maintenance of our Data & AI platforms. The role ensures infrastructure is secure, scalable and fit for advanced analytics, AI enablement and cloud-first delivery, supporting both strategic transformation and day-to-day operational needs. Working across IT, Data and the wider business, the role provides architectural leadership, sets technology direction and enables the safe adoption of modern data and AI capabilities.

Job Responsibility

  • Responsible for the design, development and maintenance of our Data & AI platforms
  • Ensures infrastructure is secure, scalable and fit for advanced analytics, AI enablement and cloud-first delivery, supporting both strategic transformation and day-to-day operational needs
  • Provides architectural leadership, sets technology direction and enables the safe adoption of modern data and AI capabilities

Requirements

  • Significant experience as an Infrastructure Architect in a Microsoft Azure ecosystem
  • Strong grounding in TOGAF, ITIL, systems analysis and solution design
  • Proven experience designing and supporting Microsoft Azure based platforms
  • Hands-on exposure to Data & AI technologies, such as: Azure Databricks / Microsoft Fabric
  • Enterprise AI tooling (e.g. Copilot, Foundry, Bedrock or equivalent)
  • Databases (SQL Server and/or Oracle)
  • Experience with identity, security and risk management, including Entra ID (Azure AD)
  • Ability to influence stakeholders and support large-scale change, migration and modernisation initiatives

What we offer

  • Hybrid working – 2 days per week in the office
  • Annual bonus of up to 12%
  • Matched pension contributions up to 10%
  • 26 days holiday, plus bank holidays and holiday purchase scheme
  • Colleague Mortgage and Saver products
  • 2 days' volunteering per year

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Infrastructure Architect - Data & AI Platform

8 matching positions

New

Infrastructure Architect - AI & Cloud, DV Cleared

Location
Location
United Kingdom
Salary
Salary:
Not provided
bangura.co.uk Logo
Bangura Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep technical experience in network infrastructure Architecture, design and solutions consulting, designing large-scale AI, Cloud Data Center in Hyperscale networking environments
  • Technical expertise with JunOS, EOS, IOS and hyperscale network architecture frameworks. JNCIE or equivalent certification
  • Deep hands-on expertise with hyperscale routing, MPLS traffic engineering, switching, SDN overlays (EVPN/VXLAN, MP-BGP), Network Fabrics and DCI solutions, network provisioning, automation and monitoring (Apstra, Paragon, NETCONF/REST APIs, YANG), and Familiarity with major networking silicon, hardware platforms and related software (e.g., Juniper, Arista, Cisco, SONiC, Cumulus etc.)
  • SME in Virtualisation technologies on x86 and scaling using technologies such DPDK, SR-IOV, SmartNICs etc.
  • Strong communication and interpersonal skills for diverse technical and business audiences
  • Demonstrated experience designing & developing playbooks for a complex variety of networking products, solutions, tools and services
Job Responsibility
Job Responsibility
  • Design and develop complex enterprise solutions that make critical national infrastructure systems robust, secure, and fit for purpose
  • Gain work on designing innovative secure AI solutions
What we offer
What we offer
  • 12 month initial contract
  • Hybrid working across the UK
  • Work on innovative projects, using the latest technology within in a dynamic project team
Read More
Arrow Right

Software Architect - Ai Platform

We are building an agentic mesh network for US healthcare, deploying multimodal ...
Location
Location
United States , New York City
Salary
Salary:
Not provided
Armory Medical
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years building production distributed systems
  • You have designed, shipped, and operated infrastructure that runs at institutional scale
  • You've made architectural bets that held up — and learned from the ones that didn't
Job Responsibility
Job Responsibility
  • Define the architecture of the systems that power autonomous agent orchestration across the most critical vertical within our country
  • Own entire subsystems — from protocol design to production deployment — with the autonomy and accountability of a technical co-founder
  • Agent runtime architecture — designing the execution engine, task scheduling, state management, exception handling, and human-escalation pathways that the entire platform runs on
  • Multi-agent orchestration layer — the coordination primitives, tool-use frameworks, and real-time decision-making pipelines that process clinical documents, voice interactions, and multimodal healthcare data at institutional scale
  • Federated interoperability protocols that enforce data residency while enabling cross-entity agent collaboration
  • Platform abstractions — APIs, SDKs, and workflow primitives that allow both internal and external teams to deploy agents on the platform
What we offer
What we offer
  • Top-of-market cash compensation plus significant founding-team equity
  • Fulltime
Read More
Arrow Right

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
  • Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
  • Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
  • Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
  • Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
  • Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
  • Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
  • Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
  • Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
  • Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Job Responsibility
Job Responsibility
  • Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
  • Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
  • Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
  • Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
  • Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
  • Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
  • Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
  • Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
  • Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
  • Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps
  • Fulltime
Read More
Arrow Right

Senior AI Platform Architect

As an AI Platform Architect II at Teradyne, you will be a pivotal leader at the ...
Location
Location
United States , North Reading
Salary
Salary:
139900.00 - 223900.00 USD / Year
teradyne.com Logo
Teradyne
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-8 years in Information Technology including Enterprise Architecture and AI/ML/GenAI Engineering. Proven experience in designing and implementing large-scale, enterprise-wide AI solutions.
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field required
  • Deep understanding of AI and machine learning concepts, including generative AI, large language models (LLMs), and MLOps.
  • Expertise in designing and building solutions on cloud platforms, with a strong preference for Microsoft Azure and a working knowledge of Google Cloud Platform.
  • Hands-on experience with and a deep architectural understanding of our core AI and data platforms: Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI (including the future Azure AI Foundry), Google Vertex AI, and Snowflake Cortex AI.
  • Strong knowledge of data architecture, data governance, and data security best practices.
  • Familiarity with Infrastructure as Code (IaC) and CI/CD principles.
  • Exceptional leadership and communication skills, with the ability to articulate a clear vision and influence stakeholders at all levels of the organization.
  • Analytical mindset with a focus on delivering measurable business outcomes.
  • Strong strategic thinking and business acumen, with the ability to connect technology solutions to business value.
Job Responsibility
Job Responsibility
  • Design and evangelize a cohesive, enterprise-wide AI and Data architecture.
  • Create the blueprint for a scalable and secure ecosystem that leverages investments in Microsoft 365 & Copilot, Azure Foundry, Google Vertex AI, and Snowflake Cortex AI.
  • Guide the selection of AI tools, define the data integration strategy, and establish reusable patterns for agentic development.
  • Be a key change agent, responsible for embedding AI into the fabric of the business
  • Bridge the gap between strategy and execution by fostering an AI-ready culture, building institutional literacy.
  • Architect and operationalize the enterprise AI strategy by developing a comprehensive architectural blueprint and component-level roadmap.
  • Lead the design of a unified AI ecosystem that integrates our core platforms.
  • Establish and champion architectural standards, reusable MLOps & LLMOps patterns, and best practices.
  • Architect and lead the strategy for a centralized Model Context Protocol (MCP) Server.
  • Evaluate emerging AI technologies, frameworks, and methodologies, making strategic recommendations.
What we offer
What we offer
  • Medical
  • Dental
  • Vision
  • Flexible Spending Accounts
  • Retirement savings plans
  • Life and disability insurance
  • Paid vacation & holidays
  • Tuition assistance programs
  • Fulltime
Read More
Arrow Right

Vice President - Technology (Data & AI Infrastructure Engineer)

Our client's technology team is responsible for creating and continuously improv...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 215000.00 USD / Year
rennerbrown.com Logo
Renner Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Computer Engineering, or related field (Master's degree is a plus)
  • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering
  • Demonstrated experience building shared platforms or developer services in an enterprise environment
  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
  • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
  • PowerShell for infrastructure tasks
  • Infrastructure-as-Code: Terraform and/or Bicep
  • container orchestration with Docker and Kubernetes
  • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
Job Responsibility
Job Responsibility
  • Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
  • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
  • Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
  • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
  • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
  • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
  • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
  • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services
  • Fulltime
Read More
Arrow Right

Junior Cloud & Data AI Architect

Join Datwave (a BIP's Company) to accelerate your career in the world of Cloud a...
Location
Location
Albania , Tirana
Salary
Salary:
Not provided
businessintegrationpartners.com Logo
Business Integration Partners
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • STEM Degree (Computer Science, Engineering, Physics, Mathematics)
  • Solid knowledge of programming patterns (OOP), algorithms, and data structures
  • Proficiency in Python and/or Java/Go
  • Knowledge of software architecture principles (microservices, REST APIs)
  • Excellent command of SQL
  • Knowledge of version control systems (Git)
  • Strong interest in Infrastructure as Code (Terraform)
  • Excellent Italian and good technical English
Job Responsibility
Job Responsibility
  • Collaborate on drafting technical documentation and architectural diagrams
  • Develop application modules, APIs, and automation scripts following programming best practices
  • Write and maintain Terraform modules for resource deployment
  • Implement data ingestion and transformation pipelines on BigQuery
  • Support model development on Vertex AI and prototype AI agent-based applications
  • Fulltime
Read More
Arrow Right

Senior Cloud & Data AI Architect

Join Datwave (a BIP's Company) to accelerate your career in the world of Cloud a...
Location
Location
Albania , Tirana
Salary
Salary:
Not provided
businessintegrationpartners.com Logo
Business Integration Partners
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5–7 years in similar roles with a strong focus on Google Cloud
  • Mastery of Terraform and deep knowledge of core GCP services (BigQuery, Dataplex, Vertex AI)
  • Proven experience in setting up modern Data Lakes/Warehouses and developing AI models
  • Excellent knowledge of Python and CI/CD paradigms applied to the cloud
  • Technical leadership, strong communication skills for sales support, and fluency in both Italian and English
Job Responsibility
Job Responsibility
  • Architectural Design: End-to-end design of data platforms on GCP (Data Mesh, Medallion Architecture) while ensuring robust data governance
  • Technical Pre-sales & Client Advisory: Support business development through technical proposals, Proofs-of-Concept (PoCs), and managing relationships with client-side stakeholders
  • Infrastructure as Code (IaC): Full automation of resource provisioning using Terraform
  • AI Implementation: Design of AI/ML solutions, including intelligent agent orchestration and model industrialization (MLOps)
  • App & Migration: Oversight of application deployment and management of complex database migrations
  • Mentorship: Technical guidance and career growth for the junior profiles within the team
  • Fulltime
Read More
Arrow Right

Senior Product Architect – AI Data Center & SONiC Networking

Senior Product Architect – AI Data Center & SONiC Networking. This role has been...
Location
Location
United States , San Jose
Salary
Salary:
172000.00 - 349000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10 plus years of experience in data center networking, AI infrastructure, or high-performance systems
  • Deep expertise in: SONiC architecture and internals
  • Large-scale Ethernet fabrics
  • High-speed SerDes (112G/224G PAM4) and their impact on system performance
  • Strong understanding of ASIC pipelines, buffering, ECMP behavior, and congestion mechanisms
  • Proven ability to diagnose cross-layer performance and reliability issues involving software, hardware, and physical-layer interactions
  • Hands-on experience with RDMA/RoCE, congestion control, and lossless Ethernet at scale
  • Experience with automation and tooling (Python, Ansible, Terraform) in large-scale environments
  • Industry certifications (e.g., CCIE, JNCIE, NVIDIA) or equivalent practical experience preferred
Job Responsibility
Job Responsibility
  • Architect ultra-low-latency, lossless Ethernet fabrics supporting tens of thousands of GPUs for AI training and inference
  • Own the end-to-end SONiC platform architecture and fabric strategy, spanning control plane, management plane, data-plane integration, and operations at scale
  • Define multi-generation fabric and platform strategy across switch ASICs, NICs, SerDes capabilities, cabling, and system constraints, aligned to power, performance, and deployment realities
  • Own link-level and physical-layer requirements as they impact SONiC performance, including high-speed PAM4 signaling (112G/224G), error handling, and hardware/software interaction
  • Align SONiC architectures with next-generation GPU, NIC, and switch platforms, ensuring optimal performance across hardware and software boundaries
  • Define SONiC capabilities for AI and HPC workloads, including: Lossless Ethernet and RoCE
  • Congestion management, QoS, and ECN
  • Dynamic and flow-based load balancing
  • Drive scale, performance, and resiliency targets for SONiC-based fabrics, including fast convergence, hitless upgrades, and failure recovery
  • Define and enforce system-level validation criteria, including scale testing, fault injection, performance benchmarking, and upgrade scenarios
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right