AI Infrastructure Architect (Hands-on, Multi-Cloud)

Accenture PLC; Paris; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture PLC is seeking an experienced Infrastructure Architect to design and optimize AI and ML infrastructure powering real-world applications. You will lead compute resource provisioning, deployment automation, and model serving across cloud and on-prem environments, while mentoring engineers and driving best practices.

You will work hands-on with Docker, Kubernetes, and AI monitoring tools, shaping the infrastructure roadmap and ensuring security and regulatory compliance across the stack.

Qualifications

• Experience coding, monitoring, and troubleshooting AI/ML applications and infrastructure.
• Strong AI/ML understanding and computing infrastructure knowledge.
• Proficiency in Python, Java, or C++.
• Experience with data pipelines/workflow tools (Airflow, Kubeflow).
• Excellent problem-solving and teamwork.

Responsibilities

• Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling.
• Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.
• Design and maintain deployment automation and CI/CD pipelines for AI systems and models.
• Deploy AI systems, models, and data pipelines into production, defining processes and best practices.
• Lead container orchestration and model serving using Docker and Kubernetes.
• Architect and optimize the computational stack for performance, power, and cost.
• Evaluate and select tools and platforms to shape the infrastructure roadmap.
• Integrate AI models into existing enterprise systems with security and compliance.
• Own AI monitoring and infrastructure health across InfraOps and MLOps.
• Troubleshoot and lead root-cause analyses across the stack.
• Mentor junior engineers and lead code reviews.
• Define architecture standards and cost-effective, scalable practices.

Skills

Problem-solving

Communication

Team collaboration

Fast-paced environment

Education

Bachelor’s Degree in Computer Science / Computer Engineering

Tools

Docker

Kubernetes

Python

Java

C++

Apache Airflow

Kubeflow

Job description

Accenture PLC is seeking an experienced Infrastructure Architect to design and optimize AI and ML infrastructure powering real-world applications. You will lead compute resource provisioning, deployment automation, and model serving across cloud and on-prem environments, while mentoring engineers and driving best practices.

You will work hands-on with Docker, Kubernetes, and AI monitoring tools, shaping the infrastructure roadmap and ensuring security and regulatory compliance across the stack.