At a Glance
- Tasks: Design and lead AI-ready infrastructure for cutting-edge machine learning and high-performance computing.
- Company: Join Accenture, a leader in hybrid cloud infrastructure and digital transformation.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Other info: Collaborate with top tech leaders and enjoy excellent career growth opportunities.
- Why this job: Make an impact by shaping the future of AI infrastructure for major enterprises.
- Qualifications: Strong consulting experience and expertise in cloud services and infrastructure design.
The predicted salary is between 63000 - 77000 £ per year.
Location: London (with expected travel)
Salary: Competitive, plus benefits.
In this role you will:
Accenture’s Infrastructure Architecture & Engineering practice, within our Digital Core Reinvention group, is focused on providing best in class hybrid cloud infrastructure for large enterprise clients. Our team provides full lifecycle cloud and infrastructure services from consulting on strategy to leading large technology implementations. Accenture’s Infrastructure Delivery Leads manage high performing teams across consulting, delivery management, project execution, and technical expertise to partner with our clients to plan, analyse, design, test, and deploy enterprise scale end-to-end hybrid cloud transformation solutions.
Responsibilities
- Design, architect and lead the delivery of AI-ready infrastructure platforms that enable large-scale machine learning (ML), generative AI (GenAI), agentic AI and high-performance computing (HPC) workloads.
- The successful candidate will be responsible for defining AI compute architectures across on-premises, colocation and cloud environments, helping clients establish secure, scalable and cost-efficient GPU platforms that support training, fine-tuning and inference workloads.
Job Qualifications
- Strong client-facing consulting experience.
- Ability to engage effectively with CIO, CTO and AI leadership teams.
- Excellent written and verbal communication skills.
- Experience leading distributed architecture and engineering teams.
- Commercial awareness and business case development capability.
- Infrastructure design, build, and management experience in some of the following areas:
- Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage)
- Cloud and Infrastructure Migrations, Operations and Lifecycle management
- Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)
- Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery)
- Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix)
- Container Platforms (e.g., Openshift, EKS, AKS, GKS)
- Infrastructure Automation (e.g., Terraform, Ansible, Python)
- Demonstrable experience with GPU-based infrastructure design
- NVIDIA AI ecosystem
- CUDA and GPU architectures
- AI training environments
- AI inference platforms
- HPC infrastructure
- AI workload scheduling
- ML platform architectures
AI Infrastructure Architect employer: Accenture UK & Ireland
Accenture Song is an exceptional employer, offering a dynamic work culture that fosters creativity and innovation at the forefront of digital commerce. Located in London, employees benefit from a competitive salary, generous leave policies, and extensive health and wellbeing support, alongside opportunities for professional growth in cutting-edge AI technologies. With a commitment to flexibility and a collaborative environment, Accenture Song empowers its team to thrive while making a meaningful impact in the world of commerce.
