AI Trainee

AI Trainee - Internship/Stage
Torino | Onsite Turin, Italy | Full-time
Building a sustainable future, together.
At WSP, we design the future of our communities. As one of the world's leading engineering and professional services firms, we bring together expertise across transport and infrastructure, buildings, energy, environment, water and advisory.
Across Central Europe, we combine local knowledge with international reach to deliver projects that create a positive, lasting impact for clients, communities and the environment.
We are looking for an Intern to join our Digital Innovation team in Torino and help us shape what comes next.
The opportunity
This internship is designed for students, recent graduates or early-career professionals who are looking to develop their skills, gain practical experience and build a future-ready mindset within a professional engineering and consulting environment.
You will contribute to real projects, work alongside experienced professionals and gain exposure to meaningful work that makes a positive difference.
We are looking for people who are curious, collaborative and motivated by learning. Whether you are completing your studies or taking your first professional steps, you will find opportunities to grow and make an impact at WSP.
How You Will Make An Impact
Your work will support the delivery of projects and help us develop solutions that respond to the needs of our clients and society.
Through your contribution, you will help support projects that create a positive impact for clients, communities and the environment.
Your Activities May Include

• Work with stakeholders to clarify business needs, constraints and success criteria; assess feasibility, prioritise use cases and compare AI, non-AI and build-versus-buy options.
• Support the development of maintainable Python, ML and GenAI/LLM solutions, including assistants, RAG systems, prompt and context engineering, structured outputs, function calling and reusable agentic workflows.
• Build document ingestion and data pre-processing pipelines from authorised SharePoint, Azure and web sources, and integrate APIs, databases and enterprise services with reliable error handling and documentation.
• Define and run tests for grounding, hallucination risk, reliability, latency and cost; support cloud deployment, LLMOps versioning, monitoring and regression management, and optimise model selection, tokens, caching and processing modes.
• Apply security and governance controls, including RBAC, data minimisation, content filtering, prompt-injection and leakage safeguards, permissions, context boundaries and human approval for sensitive actions; document and share outcomes to support reuse across business and IT teams.

The exact responsibilities will depend on the team, business needs and learning objectives of the internship.
What You Will Learn
During the internship, you will have the opportunity to:

• Develop practical knowledge in Artificial Intelligence, Machine Learning and Generative AI
• Gain experience with industry tools, methodologies and processes
• Understand how multidisciplinary projects are delivered
• Collaborate with experienced professionals across different teams
• Build professional communication and stakeholder management skills
• Receive regular coaching, guidance and feedback

From day one, you will contribute to real projects, receive guidance from experienced professionals and progressively build your technical confidence and responsibilities.
The team around you
You will join a supportive, multidisciplinary team where knowledge-sharing, collaboration and professional development are part of everyday life.
The culture: We work with openness, trust and mutual support, creating an environment where different perspectives are valued.
The projects: Our current focus includes AI applications, process automation, data integration and digital transformation initiatives with local and international teams.
The opportunity: This internship offers hands-on learning, exposure to real projects and the chance to develop skills that support your future career.
What You Will Bring To The Role
We focus on potential, motivation and willingness to learn while welcoming different backgrounds and career paths.
We would love to hear from you if you bring:
Essential Requirements

• A degree in computer science, engineering, mathematics, data science or a related discipline, or equivalent experience
• Strong Python and software engineering skills, including version control, testing, debugging, modular design, documentation and API integration
• Knowledge of machine-learning fundamentals and practical AI development experience, including applied projects
• Understanding of LLM limitations, RAG, embeddings and retri