AI Infra Architect: Scalable Supply Chain Ops

3003 Accenture (UK) Limited Company; City Of London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Accenture PLC is seeking an experienced AI Infrastructure Architect to design and optimize AI and ML infrastructure across cloud and on‑prem environments. You will build and deploy AI systems, mentor engineers, and drive best practices for InfraOps and MLOps while focusing on performance, cost, and scalability.

You will lead container orchestration, model serving, and data pipelines, collaborating with senior teams to deliver production-grade AI solutions at scale.

Qualifications

• Experience coding AI/ML deployments and building infrastructure for on-prem or cloud.
• Proficiency in Python, Java, or C++ with strong debugging skills.
• Experience with AI infra on hyperscale platforms and data pipelines.
• Strong communication, collaboration, and mentoring abilities.

Responsibilities

• Write, review, and debug code and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.
• Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.
• Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.
• Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.
• Lead container orchestration and model serving using Docker, Kubernetes, and model deployment frameworks.
• Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.

Skills

Python

Java

C++

Docker

Kubernetes

CI/CD

Education

Bachelor's degree in Computer Science/Engineering

Related Engineering field

Tools

Docker

Kubernetes

Kubeflow

Job description

Accenture PLC is seeking an experienced AI Infrastructure Architect to design and optimize AI and ML infrastructure across cloud and on‑prem environments. You will build and deploy AI systems, mentor engineers, and drive best practices for InfraOps and MLOps while focusing on performance, cost, and scalability.

You will lead container orchestration, model serving, and data pipelines, collaborating with senior teams to deliver production-grade AI solutions at scale.