Lead AI Infrastructure Architect (Cloud & Scale)

Accenture PLC; Brussel Hoofdstad; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Accenture PLC seeks a Lead/Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML systems. You will translate business goals and SLAs into scalable, cost-efficient architectures across compute, networking, storage, and orchestration.

You will lead architecture reviews, set technical standards, and mentor engineers while collaborating with clients to align infrastructure with business outcomes and regulatory requirements.

Qualifications

• Significant experience in coding, building, monitoring, troubleshooting AI/ML applications and deploying on premises or in public clouds.
• Strong understanding of AI and machine learning concepts.
• Deep knowledge of computing infrastructure and AI infrastructure.
• Proficiency in programming languages such as 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.
• Proven experience in AI/ML infrastructure engineering on a hyperscaler platform for large-scale solutions.
• Experience in leading AI projects and teams.
• Strong project management skills and ability to manage multiple projects.
• Demonstrated ability to evaluate and select AI technologies and frameworks.

Responsibilities

• Own the end-to-end architecture and design of optimized compute infrastructure for large-scale AI/ML systems, from concept through delivery.
• Develop and evaluate architecture alternatives, weighing trade-offs across compute, networking, storage, orchestration, and model serving.
• Lead architecture assessments and reviews, identifying gaps and optimization opportunities, and recommending remediation.
• Drive architectural decisions with documented rationale, aligned to SLAs and standards.
• Define and maintain the AI infrastructure roadmap with capacity and evolution planning.
• Architect and optimize the computational stack for performance, power, cost, and scalability.
• Design and tune large-scale GPU clusters and distributed training systems, including interconnects and storage.
• Serve as the authoritative AI infrastructure expert on at least one hyperscaler cloud.
• Design deployment, automation, CI/CD strategies for production releases of AI systems and data pipelines.
• Establish AI monitoring and observability strategy across InfraOps and MLOps with SLAs and cost tracking.
• Integrate AI/ML systems into enterprise environments with security and regulatory compliance.
• Lead capacity planning and cost modeling to optimize engineering cost-efficiency.
• Collaborate with clients and teams to translate requirements into architecture and standards.
• Set technical direction, standards, and best practices, mentoring engineers and leading reviews.

Skills

AI/ML infra

Python/Java/C++

Hyperscaler cloud

CI/CD automation

Architecture design

Leadership & mentoring

Security & compliance

Education

Bachelor's Degree in CS/CE/Engineering

Tools

Apache Airflow

Kubeflow

Job description

Accenture PLC seeks a Lead/Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML systems. You will translate business goals and SLAs into scalable, cost-efficient architectures across compute, networking, storage, and orchestration.

You will lead architecture reviews, set technical standards, and mentor engineers while collaborating with clients to align infrastructure with business outcomes and regulatory requirements.