Senior AI Infra Architect - GPU Clusters & Scale

Accenture; Wien; Hybrid; EUR 85.000 - 104.000; Vollzeit

Benefits dieser Stelle

Voluntary Equity Investment Program (V

Zusammenfassung

Accenture PLC is seeking a Lead and Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML, translating SLAs into scalable, cost-efficient architectures.

You will design GPU clusters, orchestrate training environments, lead architecture reviews, and mentor engineers while ensuring security and regulatory compliance across hyperscaler platforms such as AWS, Azure, or GCP.

Qualifikationen

• Experience coding, building and monitoring AI/ML applications and deploying to cloud or on-prem.
• Strong understanding of AI/ML concepts.
• Strong understanding of computing infrastructure and AI infrastructure.
• Proficiency in Python, Java, or C++.
• Experience with data pipelines/workflow tools (Airflow, Kubeflow).
• Excellent problem-solving and fast-paced environment.
• Excellent communication and collaboration.
• Proven leadership in AI projects and teams on a hyperscaler.
• Strong project management, multi-project capability.
• Experience evaluating AI technologies/frameworks.
• Ability to work with cross-functional teams.

Aufgaben

• Own end-to-end architecture and design of optimized compute infrastructure for large-scale AI/ML systems.
• Develop and evaluate architecture options across compute, networking, storage, orchestration, and model serving.
• Lead architecture assessments, identify gaps, risks, bottlenecks, and remediation.
• Drive architectural decisions with documented rationale and SLAs alignment.
• Define and maintain AI infrastructure roadmap and capacity planning.
• Architect and optimize the full computational stack for performance, power, cost, and scalability.
• Design and tune large-scale GPU clusters and distributed training systems.
• Serve as authoritative AI infrastructure expert in at least one hyperscaler cloud.
• Design deployment, automation, and CI/CD strategies for production releases.
• Establish AI monitoring and observability strategy with SLAs/SLOs and cost tracking.
• Integrate AI/ML into enterprise environments with security/compliance.
• Lead capacity planning and cost modeling.
• Collaborate with clients and engineers to align decisions with business outcomes.
• Set technical direction, standards, and mentor engineers; lead reviews.

Kenntnisse

Python/Java/C++

AI/ML infrastructure

HPC / GPU clusters

Leadership & mentoring

Cloud platforms (AWS/Azure/GCP)

Ausbildung

Bachelor's Degree in CS/Engineering

Tools

Airflow/Kubeflow

GPU clusters (NVIDIA)

CI/CD tools

Jobbeschreibung

Accenture PLC is seeking a Lead and Principal Infrastructure Architect to own end-to-end compute infrastructure for large-scale AI/ML, translating SLAs into scalable, cost-efficient architectures.

You will design GPU clusters, orchestrate training environments, lead architecture reviews, and mentor engineers while ensuring security and regulatory compliance across hyperscaler platforms such as AWS, Azure, or GCP.