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 retrieval, with the ability to use prompting, context engineering, structured outputs and function calling and to evaluate results critically

· Ability to work with structured and unstructured data, query databases and develop reliable ingestion and integrations, with an understanding of deployment, monitoring, security and data protection

· Professional English for documentation, meetings and international collaboration, together with strong organisation, problem-solving, communication and teamwork skills, curiosity and an interest in emerging technologies

Preferred skills: Familiarity with agentic workflows and an interest in multimodal AI applications. Advanced multi-agent experience is not required.

We do not expect you to know everything. We are looking for curiosity, motivation and willingness to learn.

Duration and working arrangements

· Duration: 6 months

· Location: Torino

· Working model: Onsite

· Working hours: 40 hours per week, Monday to Friday

· Expected start date: early November

Compensation and Benefits

WSP offers an internship allowance of €800 gross per month, in line with applicable regulations and company policies.

Additional benefits and compensation details will be shared during the recruitment process.

Life at WSP

When our people thrive, our projects thrive.

At WSP, you will be supported to build your skills, take on meaningful challenges and learn from talented professionals across a global network. We encourage flexibility, collaboration, new ideas and growth in ways that reflect different career aspirations and ambitions.

Our partnership approach

We see recruitment as a two-way conversation. Our process is designed to be transparent, collaborative and respectful of your time.

It typically includes:

• Application review
  Review of your application against the internship requirements.

• Interview with HR and/or Hiring Manager
  A conversation about your background, motivations, learning goals and interest in the role.

• Final decision
  Communication of the outcome and next steps.

Come as you are

We are building teams that reflect the diverse communities we serve.

If you see yourself in this opportunity but do not meet every single requirement, we still encourage you to apply. Your background, perspective and experience might be exactly what we need to move forward.

All applications will be treated with confidentiality and considered under equal opportunities principles.

Ready to start your career journey with WSP?

If you are looking for an opportunity to learn, contribute and start building your professional future in a global organisation, we would love to hear from you.

Apply now and discover what you can achieve with WSP.

Accessibility and adjustments

We want our recruitment process to be inclusive and accessible. If you need any reasonable adjustments during the process, please let us know so we can support you.

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