Artificial Intelligence Engineer

About the Company

At SANDT, we operate at the crossroads of strategy, execution, and technology; turning complex challenges into concrete outcomes. Our work bridges IT and OT through smart, pragmatic solutions that create connected environments and lasting impact. We build trusted partnerships through clarity, rigor, and measurable results, all while fostering a culture of ownership, continuous learning, and sharp thinking.

We believe in Excellence over Ego, Engagement with Impact, and Evolution as a Mindset; three values that shape how we think, collaborate, and grow with our clients.

To support that growth, we developed SANDTedge, our internal framework that gives every consultant a clear, shared trajectory with concrete benchmarks across impact, ownership, problem-solving, and communication.

About the Role

SANDT is looking for an AI Engineer Consultant to help design, build, and deploy AI-powered solutions for complex public and private-sector environments.

This role is open to candidates from different technical backgrounds, including Artificial Intelligence, Machine Learning, Data Engineering, Cloud Engineering, Software Engineering, research or other roles. What matters most is the ability to turn data, algorithms, models, and business needs into reliable, maintainable, and valuable solutions.

Depending on the mission, you may work on machine learning models, predictive analytics, data pipelines, automation, natural language processing, computer vision, generative AI, model customisation, agentic solutions, RAG, recommendation systems, optimisation models, or AI-enabled applications.

Responsibilities

• Design, build, test, and improve AI, machine learning, data-driven, and automation solutions.
• Translate business needs into technical solutions with consultants, architects, product owners, data teams, and client stakeholders.
• Prepare, process, and structure data from multiple sources for AI and analytics use cases.
• Develop, train, evaluate, and improve machine learning or AI models where relevant.
• Build data pipelines, APIs, model-serving components, or application features to operationalise AI solutions.
• Contribute to cloud, hybrid, or enterprise deployment of AI and data solutions.
• Apply quality standards around testing, documentation, monitoring, security, privacy, and maintainability.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Take ownership of technical deliverables, identify risks early, and propose pragmatic solutions.
• Manage defined workstreams independently, including planning, delivery, and quality assurance.
• Interact directly with clients within your scope and contribute to decision-oriented deliverables.
• Coach junior colleagues and actively contribute to team performance and knowledge sharing.

Qualifications & Experience

Professional Experience

• 5+ years of professional experience in software engineering, data engineering, cloud engineering, machine learning engineering, AI engineering, or a related technical role, including at least 1 year of hands-on experience building, integrating, or deploying AI or machine learning solutions.
• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, Statistics, or another relevant technical field.
• Experience working on AI, machine learning, data, analytics, automation, robotics, or intelligent application projects.
• Experience working with business stakeholders and translating needs into practical technical solutions.
• Experience with production-oriented delivery, not only experimentation, academic work, or isolated prototypes.
• Experience in consulting, public sector, regulated environments, large organisations, or complex transformation programmes is an asset.

Technical Requirements

• Strong programming skills in Python
• Good working knowledge of SQL, NoSQL
• Experience building or contributing to AI, machine learning, data, analytics, robotics or automation solutions
• Understanding of machine learning concepts, including model training, validation, evaluation, and improvement
• Experience with data preparation, including cleaning, transformation, feature engineering, and data quality checks
• Experience building or using data pipelines, APIs, databases, or enterprise data sources
• Familiarity with cloud or data platforms such as Azure, AWS, Google Cloud, Databricks, or similar
• Experience with software engineering practices such as Git, testing, documentation, and clean code
• Knowledge of Docker, CI/CD, Kubernetes, or infrastructure-as-code is an asset
• Experience with NLP, recommendation systems, optimisation, Generative AI, LLMs, or RAG is an asset
• Experience with tools such as Scikit-learn, TensorFlow, PyTorch, MLflow, Spark, Databricks, Azure Machine Learning, or Azure OpenAI is an asset

Soft Skills

• Excellent communication and active listening skills
• Strong analytical and problem-solving mindset
• Ability to simplify complex technical topics and create clarity for different stakeholders
• Pragmatic, structured, and delivery-oriented mindset
• Ability to work independently while maintaining strong team collaboration
• Comfortable interacting directly with clients and technical teams
• Able to anticipate risks, propose solutions, and ensure follow-up
• Curious, rigorous, and committed to continuous improvement

Languages

Native or bilingual proficiency in either Dutch or French, with professional proficiency in the other language. Full professional proficiency in English is required.

Location

Projects across Belgium, not limited to Brussels

Hybrid work model depending on the client context

What we offer

Structured Career Growth – With SANDTedge, we provide clear expectations, continuous feedback, and a transparent path for progression at every stage of your career.

Competitive Benefits – At SANDT, we offer a competitive rewards package, including a company car or mobility budget, phone subscription, group and health insurance, lunch vouchers, and more.

Inclusive Culture – We value diversity and foster an environment where different perspectives drive innovation, creativity, and collaboration.

Stability & Trust – Reliability is at the heart of what we do, building lasting relationships with our clients, partners, and employees.

At SANDT, we’re committed to creating a workplace where everyone belongs and can thrive. We embrace diversity and ensure fair opportunities for all.

We are an equal opportunity employer. All qualified applicants are considered regardless of gender, race, age, sexual orientation, beliefs, disability, or any other protected characteristics.

Want to become a part of the SANDTribe yet?

Send us an email to careers@sandt.be or apply directly through LinkedIn!