About the Role
Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. With more than 51,000 colleagues in nearly 30 countries, Sopra Steria ranks as Europe's leading digital solutions provider.
Responsibilities
Join the Data & AI team, where you will become part of a multidisciplinary team combining data engineering, architecture, AI, analytics, governance and visualization. Together, the team helps clients get more value out of their data: from setting up the right data foundations to building dashboards, analytics solutions and AI use cases that support better decisions.
As an AI Engineer, you will:
•Design, build and industrialize AI solutions that solve concrete business problems and can be used in real operational environments
•Bring traditional AI and generative AI into real-world use cases by helping clients design, build and deploy AI solutions
•Work on solutions ranging from machine learning models and NLP to LLMs, semantic search, RAG solutions and conversational AI
•Train, fine-tune, improve and deploy ML and AI models
•Write production-ready Python code to serve online, batch and real-time models
•Build applications and software components that make AI-driven use cases usable in practice
•Work in close collaboration with Data Scientists, MLOps Engineers, Data Engineers, AI Architects and other specialists to integrate all parts of the solution
•Depending on the project, help build new AI solutions from the ground up or support clients in operating and improving existing solutions over a medium to long-term basis
Requirements
We're looking for a Senior AI Engineer who combines strong AI knowledge with solid software engineering skills, able to move beyond experimentation and help turn AI use cases into reliable, maintainable and production-ready solutions.
•At least 4 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
•Experience with traditional NLP, LLMs, and conversational AI, both in experimentation phase and in production
•Experience with vector databases for semantic search and RAG solutions in a production environment
•Strong software engineering background and ability to write production ready code in Python
•Experience with experiment tracking, models monitoring, LLM and NLP evaluation techniques, and deployment strategies
•Comfortable with the machine learning lifecycle and MLOps and DevOps principles
•Experience with at least one cloud provider and good knowledge of the data ecosystem
•Able to coach others, give technical advice and direction, and work independently
•Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
•Proficient in English and also fluent in Dutch and/or French
What We Offer
You'll join the Data Science & AI Engineering Practice within the Data & AI team: a specialized group of consultants helping clients turn AI ideas into practical, scalable and responsible solutions. The work goes beyond experimentation — identifying valuable AI use cases, designing solution approaches, building and industrializing AI systems, and embedding them into real business and operational environments. This includes traditional AI, NLP, LLMs, generative AI, agentic AI, trustworthy AI and MLOps.
You'll grow your expertise in AI engineering, Python development, production-ready AI, cloud and data platforms, MLOps, model evaluation and stakeholder collaboration, in a collaborative team where knowledge sharing, technical deep dives and coaching are part of the way the team works.
As part of Sopra Steria, you'll also benefit from strong career development opportunities, both locally and internationally, supported by the Sopra Steria Academy and a wider network of more than 51,000 professionals, with offices in more than 30 countries.
Additional perks include:
•Mobility options (including a company car)
•Insurance coverage
•Meal vouchers
•Eco-cheques
•Continuous learning opportunities through the Sopra Steria Academy
•Opportunity to connect with fellow Sopra Steria colleagues at various team events
