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Flexible working models, including home office. - Access to more than 30,000 training opportunities covering professional and soft skills. - Certifications and learning platforms. The Accenture culture: Here, YOU are the catalyst for change Your skills, your nature, and your ambitions make you unique. And when the most diverse talents, strengths, and perspectives come together, something great is created: ideas that make a difference in the world.

That s why at Accenture, we focus on diversity and freedom to develop. Create a work environment in which you thrive. With tasks that are close to your heart.

With a workload that suits you. And with a way of working that is geared towards your goals. How you want to network, develop, and grow personally is up to you.

This is your career. We are mere facilitators, helping you shape it exactly as you envision. Contact Us Any questions?

Feel free to contact our recruiting team at. In addition to exciting projects, we offer an attractive compensation package, flexible working hours, a modern environment, and many additional benefits. You also have the opportunity to positively influence your annual income based on your individual performance.

The annual gross salary for this position starts, depending on qualifications and experience, at €53,600. 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.

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Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Zur Position

#LI-EU #LI-ASG YOU ARE As a hands-on AI Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers — and increasingly leading your own workstreams — you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows.

You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven role where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes.

At Accenture, you create the environment in which you thrive – with working methods that suit you. You remain flexible. And become part of a team full of unique people who make a difference together.

Your Daily 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. Who You Are EDUCATION - • Bachelor s Degree in Computer Science, Computer Engineering, related Engineering field - BASIC (REQUIRED) QUALIFICATION - 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. - 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.