Senior AI Infra Architect: Scale GPU Clusters

Accenture PLC; City Of London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Accenture is seeking a Lead and Principal Infrastructure Architect to own end-to-end design of optimized compute infrastructure for large‑scale AI/ML systems, including distributed training environments. You translate business goals into scalable architectures that balance performance, cost, and security while guiding a team of engineers and architects.

You will evaluate architecture options across compute, networking, storage, and orchestration, define a technology roadmap, and ensure

Qualifications

• Solid background in coding, building, monitoring AI/ML applications and infrastructure for deploying them on premises or in public cloud.
• Strong understanding of AI/ML concepts and computing infrastructure.
• Proficient in Python, Java, or C++.
• Experience with data pipelines and workflow tools (Airflow, Kubeflow).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.
• Significant experience in AI/ML infrastructure engineering on hyperscaler platforms.
• Proven experience leading AI projects and teams.
• Strong project management skills with multi-project delivery.
• Ability to work with cross-functional teams and drive alignment.

Responsibilities

• Own end-to-end architecture and design of optimized compute infrastructure for large-scale AI/ML systems.
• Develop and evaluate architecture alternatives across compute, networking, storage, orchestration, and model serving.
• Lead architecture assessments, identify gaps and risks, and recommend remediation.
• Drive architectural decisions with clear rationale, aligned to SLAs and standards.
• Define and maintain the AI infrastructure roadmap and capacity planning.
• Architect and optimize the full compute stack for performance, power, and cost-efficiency.
• Design and tune large-scale GPU clusters and distributed training systems.
• Serve as the AI infrastructure expert on a hyperscaler cloud (AWS/Azure/GCP).
• Design deployment, automation, and CI/CD for reliable releases of AI systems and data pipelines.
• Establish AI monitoring and observability with SLAs and cost tracking.
• Integrate AI/ML systems into enterprise environments with security and compliance.
• Lead cost modeling and capacity planning without compromising performance.
• Collaborate with clients and engineering teams to translate requirements into architecture.
• Set technical direction and mentor engineers and architects.

Skills

Python

Java

C++

Airflow

Kubeflow

Education

Bachelor's Degree in Computer Science/Engineering

Job description

Accenture is seeking a Lead and Principal Infrastructure Architect to own end-to-end design of optimized compute infrastructure for large‑scale AI/ML systems, including distributed training environments. You translate business goals into scalable architectures that balance performance, cost, and security while guiding a team of engineers and architects.

You will evaluate architecture options across compute, networking, storage, and orchestration, define a technology roadmap, and ensure