Junior AI Infra Architect: Cloud, GPUs & MLOps

Accenture Poland; Województwo mazowieckie; On-site; PLN 120,000 - 180,000; Full time

Job summary

Accenture Poland is seeking an early-career Infrastructure Architect to contribute hands-on to AI/ML infrastructure powering real-world applications. Under guidance, you will learn coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their infrastructure across cloud and on-prem environments.

You will work with GPUs, distributed training environments, and data pipelines, building expertise in container orchestration, model serving, and deployment frameworks

Qualifications

• Work or coursework experience with AI/ML or Computer engineering or Computer science.
• 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.
• 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++.

Responsibilities

• Write, test, and debug code and scripts for AI infrastructure tasks, including automation and tooling, under the guidance of senior engineers.
• Develop and maintain infrastructure and software deployment scripts to support reliable, repeatable releases of AI systems and models.
• Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.
• Deploy AI systems and machine learning models into production infrastructure, following established processes and best practices.
• Deploy data pipelines that feed AI and ML workflows, ensuring data is available, clean, and reliable.
• Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.
• Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.
• Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines, tracking performance, reliability, and resource utilization.
• Perform AI monitoring to track model performance, detect drift or degradation, and surface issues for review.
• Troubleshoot and help resolve issues across the computational stack - hardware, networking, software, and models - with mentorship and support.
• Document configurations, processes, and procedures to maintain clear, repeatable, and shareable knowledge across the team.
• Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions to grow technical skills.
• Apply security, cost-efficiency, and scalability best practices as you learn them, contributing to well-managed and responsible infrastructure.

Skills

Python

Java

C++

AI/ML concepts

CI/CD

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Job description

Accenture Poland is seeking an early-career Infrastructure Architect to contribute hands-on to AI/ML infrastructure powering real-world applications. Under guidance, you will learn coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their infrastructure across cloud and on-prem environments.

You will work with GPUs, distributed training environments, and data pipelines, building expertise in container orchestration, model serving, and deployment frameworks