AI Infrastructure Architect
11 ore fa
pavia, lombardy, Italia
Accenture
Tempo pieno
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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 IaC, 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 InfraOps 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++
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 IaC, 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 InfraOps 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++