AI Infra Architect: GPU Clusters & MLOps

Accenture PLC; Greater London; Presencial; GBP 110.000 - 150.000; Jornada completa

Descripción de la vacante

Accenture PLC is seeking a hands-on Infrastructure Architect to design and optimize AI/ML infrastructure powering real-world applications. You will lead and mentor, architecting compute resources across cloud and on-prem environments, and delivering robust deployment pipelines.

The role covers AI systems deployment, model serving, and data pipelines, with focus on performance, cost, and scalability, across InfraOps and MLOps domains.

Formación

• Hands-on experience building AI/ML infrastructure and deploying models.

Responsabilidades

• Write, review, and debug code, scripts, and infrastructure-as-code for AI infra and tooling.
• Architect, configure, and provision compute resources across cloud and on-prem environments.
• Design and maintain CI/CD pipelines for AI systems, models, and apps.
• Deploy AI systems and data pipelines into production with best practices.
• Lead container orchestration and model serving using Docker and Kubernetes.
• Optimize computational stack for performance, power, and cost.
• Evaluate and select tools and platforms shaping the infra roadmap.
• Integrate AI models with enterprise systems ensuring security and compliance.
• Own AI monitoring and infra health across InfraOps and MLOps.
• Troubleshoot complex issues across hardware, network, software, and models.
• Mentor junior engineers and lead code reviews.
• Define architecture standards and cost-effective scalability practices across infra.

Conocimientos

AI/ML infrastructure

Cloud & on-prem compute

Programming: Python/Java/C++

CI/CD & automation

Proactive mentoring

Architectural decision making

Educación

Bachelor's Degree in Computer Science/Engineering

Herramientas

Docker

Kubernetes

Apache Airflow

Kubeflow

Descripción del empleo

Accenture PLC is seeking a hands-on Infrastructure Architect to design and optimize AI/ML infrastructure powering real-world applications. You will lead and mentor, architecting compute resources across cloud and on-prem environments, and delivering robust deployment pipelines.

The role covers AI systems deployment, model serving, and data pipelines, with focus on performance, cost, and scalability, across InfraOps and MLOps domains.