AI Infra Architecture Lead for Scalable ML Systems

Accenture PLC

Brussel

Sur place

EUR 120 000 - 180 000

Plein temps

Il y a 9 jours
Générateur de candidature

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Résumé du poste

Accenture PLC in Belgium seeks a Lead and Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML systems, including distributed training environments.

You will translate business goals, SLAs, and client standards into scalable, cost-efficient architectures, and you will lead and mentor engineers and architects while ensuring compliance and security across deployments.

Qualifications

  • Bachelor's degree in CS/Engineering or related field.
  • Strong programming knowledge (Python/Java/C++).
  • Deep understanding of AI/ML and compute infrastructure.
  • Experience deploying AI/ML on public cloud or on-premise.
  • Excellent problem-solving and collaboration skills.
  • Proven leadership in AI/ML infra projects on hyperscaler platforms.

Responsabilités

  • Own end-to-end architecture and design of optimized compute infra for large-scale AI/ML systems.
  • Develop and evaluate architecture alternatives across compute, networking, storage, and orchestration.
  • Lead architecture reviews, identify gaps, risks, and optimization opportunities.
  • Document rationale and ensure decisions align with SLAs and standards.
  • Define AI infrastructure roadmap and plan capacity and evolution.
  • Design deployment, automation, and CI/CD for AI systems in production.
  • Establish AI monitoring, observability, SLAs, and cost tracking.
  • Ensure security, compliance, and regulatory adherence across environments.

Connaissances

Python
Java
C++
AI/ML infra
Cloud knowledge
Problem solving
Communication
Leadership & PM
Hyperscaler experience

Formation

Bachelor's Degree in Computer Science/Engineering

Outils

Apache Airflow
Kubeflow

Description du poste

Accenture PLC in Belgium seeks a Lead and Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML systems, including distributed training environments.

You will translate business goals, SLAs, and client standards into scalable, cost-efficient architectures, and you will lead and mentor engineers and architects while ensuring compliance and security across deployments.

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