Hands-on AI Infra Architect — Early‑Career Role

Accenture PLC; Warszawa; On-site; PLN 120,000 - 210,000; Full time

Job summary

Accenture PLC in Warszawa is seeking a hands-on Infrastructure Architect at an early-career level to contribute to AI and ML infrastructure powering real-world applications. You will learn and grow while writing code, configuring resources, deploying AI systems, and supporting data pipelines.

You will collaborate with senior engineers, develop deployment scripts, monitor health, and apply best practices in InfraOps and MLOps as you gain expertise across modern tools and platforms.

Qualifications

• Experience with AI/ML or computer engineering or computer science.
• Experience coding, building, monitoring, troubleshooting AI/ML models and infrastructure for deployment on-prem or in the cloud.
• Solid understanding of AI and machine learning as a field.
• Solid understanding of computing infrastructure, with preferred AI infra knowledge.
• Proficiency in Python, Java, or C++.

Responsibilities

• Write, test, and debug code and scripts for AI infrastructure tasks under guidance of senior engineers.
• Develop and maintain infrastructure and deployment scripts for reliable releases of AI systems and models.
• Configure and provision compute resources across cloud and on-prem environments, including GPU clusters.
• Deploy AI systems and ML models into production infrastructure following established processes.
• Deploy data pipelines feeding AI/ML workflows ensuring data is available and clean.

Skills

AI/ML understanding

Programming languages (Python/Java/C+)

Cloud and on-prem infrastructure

CI/CD knowledge

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Accenture PLC in Warszawa is seeking a hands-on Infrastructure Architect at an early-career level to contribute to AI and ML infrastructure powering real-world applications. You will learn and grow while writing code, configuring resources, deploying AI systems, and supporting data pipelines.

You will collaborate with senior engineers, develop deployment scripts, monitor health, and apply best practices in InfraOps and MLOps as you gain expertise across modern tools and platforms.