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AI Infrastructure Architect

Accenture cerca AI Infrastructure Architect a Monza E Brianza. Settore: Engineering. Sotto c’è il testo dell’offerta.

Overview

In this hands-on role you design and optimize AI/ML infrastructure to power real-world applications. You work alongside senior architects to lead workstreams, write and review code and Ia

C, and deploy models and data pipelines. You optimize compute resources across cloud and on-prem, balancing performance, cost, and scalability. You will mentor engineers, shape architectural standards, and drive end-to-end production readiness for AI systems.

Responsabilità

Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure and tooling, setting team standards

Architect and provision compute resources across cloud and on-prem environments, including GPU clusters

Design and maintain deployment automation and CI/CD pipelines for AI systems, models, and applications

Deploy AI systems, models, and data pipelines into production and improve related processes

Lead container orchestration and model serving using Docker, Kubernetes, and related frameworks

Optimize the computational stack for performance, power, cost, and scalability

Evaluate and select tools/frameworks to shape the infrastructure roadmap

Integrate AI models with enterprise systems ensuring interoperability, security, and compliance

Own AI monitoring and infrastructure health across Infra

Ops and MLOps, drive remediation

Troubleshoot complex issues across hardware, networking, software, and models; perform root-cause analysis

Mentor junior engineers and lead code reviews; define architecture standards and best practices

Requisiti fondamentali

Practical experience in coding, building, monitoring, and troubleshooting AI/ML applications and their infrastructure

Strong understanding of AI/ML concepts

Solid computing infrastructure knowledge, with preferred AI infrastructure familiarity

Proficiency in Python, Java, or C++

Experience with data pipelines and workflow tools (e.g., Apache 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 or related roles on a hyperscaler platform for deploying large-scale solutions

communication

collaboration

mentoring

Python

Java

C++

Candidati ora

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