Ai Infrastructure Architect...
Pubblicato il 02-08-2026 - Altro in Bardi
Questa posizione è in Accenture Riassunto dell'possibilità da parte della Joinrs AI: Accenture cerca un Infrastructure Architect esperto con laurea in Informatica, Ingegneria Informatica o discipline affini.
Il ruolo prevede la progettazione e ottimizzazione dell'infrastruttura AI e machine learning, la scrittura di codice, la gestione di risorse cloud e on-premises e il mentoring di ingegneri junior.
La posizione offre un ambiente di lavoro dinamico con compensi variabili, basati su contratto nazionale Metalmeccanico, con RAL tra €32,000 e €65,800.
THE WORK Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.
Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.
Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.
Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.
Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.
Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.
Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.
Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.
Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.
Independently troubleshoot and resolve complex issues across the computational stack — hardware, networking, software,
and models — and lead root-cause analysis.
Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.
Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.
EDUCATION Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field
BASIC (REQUIRED) Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.
QUALIFICATION Strong understanding of AI and machine learning as a subject.
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.
Proficiency in programming languages such as Python, Java, or C++.
Experience with data pipeline and workflow management 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.
Compensation Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the Metalmeccanico National Collective Bargaining Agreement applies,
with one of the following pay grades and corresponding gross annual salary range:
B2- €32,000 - €50,500
B3- €36,000 - €65,800
About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Dichiarazione di pari opportunità di lavoro Crediamo che nessuno debba essere discriminato a causa delle proprie differenze.
Tutte le decisioni relative all'assunzione saranno prese senza riguardo a età, razza, credo, colore della pelle, religione, sesso, origine nazionale, ascendenza, stato di disabilità, stato di veterano militare, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, stato di cittadinanza o qualsiasi altra base tutelata dalla legge applicabile.
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