Junior Infrastructure AI Specialist

Location: Brussels

Remote Type: Hybrid

Time Type: Full time

Job Description

The role

As a Junior Infrastructure AI Specialist, you will work at the intersection of platform engineering and applied AI. You will contribute to the integration of artificial intelligence and machine learning capabilities into infrastructure platforms and IT operations. You will help build MLOps pipelines, deploy AI/ML models on cloud infrastructure, and apply generative AI to improve infrastructure automation, observability, and service reliability. This forward-looking role positions you on one of the most strategic disciplines in today's technology market, within a practice that is shaping how enterprise infrastructure is operated in the AI era.

Key responsibilities

• Contribute to building and maintaining MLOps pipelines for model training, evaluation, and deployment.
• Support the deployment of AI/ML models on cloud platforms (AWS SageMaker, Azure ML, Vertex AI).
• Help implement CI/CD workflows for AI model lifecycle management (MLflow, Kubeflow, Azure ML Pipelines).
• Contribute to the development of RAG-based and GenAI-powered infrastructure automation use cases.
• Develop and maintain data pipelines feeding AI/ML workloads from infrastructure telemetry.
• Monitor AI model performance in production and support retraining workflows when drift is detected.
• Collaborate with infrastructure teams to provision GPU/TPU compute resources for AI workloads.
• Document AI solutions: model cards, operational runbooks, and exploitation guides.
• Contribute to testing procedures and automated validation of AI/ML models in production.
• Stay current with evolving AI tools, GenAI frameworks, and AI trends applied to infrastructure.
• Participate in troubleshooting, root cause analysis, and continuous improvement of AI-driven services in production environments.
• Assist in integrating AI solutions with enterprise platforms, APIs, ITSM tools, monitoring systems, and automation workflows.

Your Profile

Required Skills

• Proficiency in Python for data processing, model development, and automation scripting.
• Foundational understanding of machine learning concepts and frameworks (TensorFlow, PyTorch, scikit-learn).
• Working knowledge of cloud AI/ML services (AWS SageMaker, Azure ML, or Vertex AI).
• Understanding of REST APIs, JSON, and system integration principles to connect AI agents with enterprise applications and operational tools.
• Experience using Git, GitHub/GitLab, and collaborative software development practices.
• Knowledge of data quality, data lineage, and data governance concepts supporting AI and ML workloads.
• Understanding of containerisation (Docker) and basic Kubernetes for ML workload deployment.
• Familiarity with MLOps tools: MLflow, Weights & Biases, or equivalent experiment tracking platforms.
• Basic knowledge of vector databases (Pinecone, Weaviate, pgvector) and RAG architectures.
• Analytical, problem-solving mindset with strong attention to detail.
• Fluency in French (mandatory) and professional-level English (mandatory).

Preferred Skills

• Experience with LLM fine-tuning or prompt engineering for infrastructure automation tasks.
• Familiarity with AIOps tools (Dynatrace, New Relic AI, or Datadog AI).
• Exposure to agentic AI frameworks (LangChain, AutoGen, CrewAI, LlamaIndex).
• Awareness of data privacy, AI ethics, and bias mitigation principles.
• Basic knowledge of distributed computing and GPU resource management.
• Familiarity with scripting and automation technologies such as PowerShell, Bash, or Python automation frameworks.
• Exposure to enterprise search technologies, knowledge management platforms, and document processing solutions.
• Familiarity with prompt lifecycle management, prompt testing, and prompt optimization techniques.

Relevant Certifications

• AWS Certified Machine Learning – Specialty.
• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Google Professional Machine Learning Engineer.
• TensorFlow Developer Certificate.
• DeepLearning.AI MLOps Specialization.
• Databricks Generative AI Fundamentals or equivalent GenAI certification.
• Generative AI certification covering prompt engineering, RAG, AI agents, and responsible AI practices.

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.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.