> Markdown version of [/jobs/ext/3662397-infrastructure-ai-specialist](https://www.wearedevelopers.com/jobs/ext/3662397-infrastructure-ai-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure AI Specialist - **Company:** Accenture - **Location:** Belgium - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Collaborative Software, Data Governance, Github, JSON, Python (Programming Language), Machine Learning, Azure Machine Learning, Systems Integration, Datadog, Pinecone, Data Processing, Scripting, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Transfer Learning, Prompt Engineering, Llamaindex, Agentic-AI, Gitlab, Git, Pgvector, Containerization, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Data Lineage, CrewAI, Weaviate, AutoGen, Machine Learning Operations, Restful APIs, New Relic (SaaS), AIOps, Dynatrace, Docker - **Published:** October 10, 2026 - **Apply:** https://www.studentjob.be/vacatures/7986183-junior-infrastructure-ai-specialist/sollicitaties/nieuw ## About the Role * Fluency in English and French and/or Dutch is required. * Ability to work effectively in an international and multicultural environment., * 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. Additional Requirements * Candidates must be citizens of a NATO member country. * Candidates must be eligible to work in Belgium. ## Description 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., * 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., At Accenture, we are committed to creating an inclusive and supportive workplace that values diversity and promotes growth for all. As you join our global company with a world-class brand and reputation, we want to assure you that you will be part of a vibrant, diverse workplace culture. We firmly believe in openness and honesty, fairness and equality, and we celebrate the unique contributions of every individual. We are dedicated to getting to know the real you and supporting your personal and professional growth, so you can excel in whatever you're great at. At Accenture, learning is a continuous journey, and we provide numerous learning opportunities, both formal and informal, to enhance your role-specific skills and expertise.