Intern, AI Prototyping

📍 Job Overview

Job Title: Intern, AI Prototyping

Company: Clario

Location: Leuven, Belgium

Job Type: Part time

Category: AI & Machine Learning / Technology Operations

Date Posted: 2026-08-18

Experience Level: 0-2 Years (Internship)

Remote Status: Hybrid

🚀 Role Summary

• Support the AI Innovation team in rapidly translating abstract ideas into tangible, testable outputs through Generative AI prototyping.

• Develop rapid prototypes, mockups, and lightweight tools to accelerate validation and enhance decision-making processes.

• Build AI-driven tools and workflows to automate and simplify manual processes, increasing operational efficiency.

• Translate structured business data, such as JIRA inputs or business cases, into actionable outputs like roadmaps, dashboards, and presentations.

• Explore and evaluate emerging AI tools, frameworks, and prompting techniques to establish best practices for AI adoption.

📝 Enhancement Note: This role is an internship focused on AI Prototyping, bridging the gap between raw ideas and practical applications using Generative AI. It requires a strong "builder" mindset and the ability to quickly visualize and manifest concepts, directly contributing to operational efficiency and innovation within a technology-driven environment. The specific mention of Thermo Fischer Scientific affiliation suggests a robust, established corporate structure with potential for significant impact.

📈 Primary Responsibilities

• Develop and deploy rapid prototypes, mockups, and interactive demos leveraging Generative AI tools and techniques.

• Convert structured inputs (e.g., JIRA data, business cases) into tangible outputs such as strategic roadmaps, performance dashboards, and compelling presentations.

• Design and build lightweight AI-driven tools and automated workflows to streamline or eliminate manual tasks across various teams.

• Facilitate intake and ideation sessions by providing quick visual representations of concepts and potential use cases.

• Conduct research and evaluation of new AI tools, frameworks, and advanced prompting strategies to identify and document best practices.

• Present developed solutions to stakeholders, gathering feedback and supporting the adoption of AI-powered methods for improved ways of working.

📝 Enhancement Note: The responsibilities emphasize a hands-on, iterative approach to AI development. The intern will be expected to move quickly from concept to prototype, demonstrating practical application of AI in a business context. Translating structured inputs into outputs like roadmaps and dashboards highlights a connection to business operations and strategic planning, suggesting the prototypes will have direct relevance to business outcomes.

🎓 Skills & Qualifications

Education: Currently enrolled in a Master’s program with a strong affinity for AI, Data Science, Computer Science, or a closely related technical field.

Experience: While formal work experience is not expected due to the internship nature, demonstrated project work or prior internship experience in relevant technical areas is highly beneficial.

Required Skills:

• Strong interest and foundational understanding of Generative AI, Large Language Models (LLMs), and emerging AI tools.

• Hands-on experience with AI tools, such as ChatGPT, or similar conversational AI platforms.

• Experience with prompt engineering principles and designing agent-based workflows.

• Proficiency in prototyping tools such as Figma, or experience with low-code platforms.

• Basic programming skills, with a preference for Python or similar scripting languages.

• A strong problem-solving aptitude and an inherent "builder" mentality, eager to create and experiment.

• Ability to translate abstract concepts and ideas into concrete, functional outputs rapidly.

• Curiosity and a proactive willingness to experiment with and learn new tools and technologies.

• Capacity to work autonomously while effectively collaborating with a cross-functional team. Preferred Skills:

• Experience with specific AI frameworks or libraries relevant to prototyping.

• Familiarity with data analysis and visualization techniques for presenting prototype outcomes.

• Understanding of agile development methodologies and rapid iteration cycles.

• Previous exposure to clinical science or healthcare technology environments.

📝 Enhancement Note: The requirements clearly outline a need for individuals with a strong theoretical foundation in AI and practical, hands-on experience with current Generative AI tools. The emphasis on "builder" mindset and rapid translation of ideas into outputs points to a role that values initiative and practical execution over extensive theoretical knowledge. Basic programming and prototyping skills are essential for creating tangible outputs.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of projects demonstrating the ability to rapidly prototype AI-driven solutions.

• Examples of translating structured data (e.g., datasets, requirements) into visual or functional outputs.

• Demonstrations of AI tools used to automate or simplify manual processes, highlighting efficiency gains.

• Prototypes or mockups that visualize complex concepts or business cases effectively. Process Documentation:

• Documentation of the iterative process used to develop and refine AI prototypes.

• Clear articulation of the AI tools and techniques employed, including prompt engineering strategies.

• Evidence of how user feedback or stakeholder input was incorporated into prototype development.

• Metrics or qualitative assessments demonstrating the impact or potential of the developed prototypes.

📝 Enhancement Note: Candidates are explicitly encouraged to submit a demonstration of a project or prototype built using AI tools. This indicates a strong preference for a portfolio that showcases practical application and tangible results, rather than just theoretical knowledge. The portfolio should highlight the candidate's ability to build, iterate, and demonstrate AI solutions.

💵 Compensation & Benefits

Salary Range: As this is an internship position in Belgium, it is often unpaid or offers a nominal stipend. The specific arrangement should be clarified with the hiring team. Based on Belgian internship standards, a monthly allowance is common for longer internships, but it is not always guaranteed, especially for Master's thesis projects.

Benefits:

• Opportunity to gain hands-on experience with cutting-edge Generative AI technologies.

• Exposure to a professional environment within a global leader in clinical science technology (Thermo Fischer Scientific affiliation).

• Mentorship from experienced AI and innovation professionals.

• Contribution to real-world projects that aim to transform clinical science and bring life-changing therapies to patients faster.

• Hybrid working model offering flexibility between office-based collaboration and remote work.

• Networking opportunities within a dynamic innovation team and broader Clario organization.

Working Hours: Part-time employment. The specific number of hours per week should be confirmed with the hiring team, but typically aligns with typical internship structures (e.g., 20-30 hours/week) or full-time during academic breaks.

📝 Enhancement Note: The job description explicitly states "Internship / master thesis position (unpaid – Belgium context)". Therefore, the salary is expected to be either unpaid or a minimal stipend, typical for internships in Belgium. Benefits will focus on learning, development, and professional exposure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically within the Clinical Science and Healthcare sector, with a focus on AI and Innovation. Clario is part of Thermo Fischer Scientific, a global leader in scientific instrumentation, reagents, and consumables.

Company Size: Clario is a significant entity, and as part of Thermo Fischer Scientific, it operates within a large, established corporate framework. This suggests access to substantial resources and a structured approach to innovation and operations.

Founded: Clario's history and founding date are less critical than its current positioning as an innovation hub within Thermo Fischer Scientific. This affiliation implies a culture that values scientific rigor, technological advancement, and a mission-driven approach.

Team Structure:

• The AI Innovation team likely comprises specialists in AI, Data Science, Product Management, and potentially UX/UI design.

• The intern will report to a manager within the AI Innovation team, with high autonomy and collaboration across AI, product, and broader innovation functions.

• Cross-functional collaboration will be key, involving interaction with teams responsible for product development, research, and strategic initiatives. Methodology:

• Data-driven approach to innovation, using AI to derive insights and create value.

• Iterative prototyping and rapid validation cycles to test and refine AI applications.

• Focus on translating business needs and structured data into practical, AI-powered solutions.

• Emphasis on experimentation and continuous learning in the rapidly evolving field of Generative AI.

Company Website: https://www.clario.com/ (Note: The provided URL was null, this is a general company URL for context)

📝 Enhancement Note: The affiliation with Thermo Fischer Scientific suggests a culture that blends innovation with established corporate processes, focusing on translating scientific advancements into practical solutions that impact patient care. The AI Innovation team likely operates with agility, mirroring startup-like speed for prototyping while benefiting from the stability and resources of a large organization.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level internship position, offering foundational experience in AI prototyping and its application within a business context. It's an excellent starting point for individuals aspiring to careers in AI development, machine learning engineering, data science, or product innovation within the tech or healthcare sectors.

Reporting Structure: The intern will report directly to a manager or lead within the AI Innovation team. While working with high autonomy, they will be part of a collaborative team structure, interacting with AI specialists, product managers, and other innovation stakeholders.

Operations Impact: The work of an AI Prototyping Intern directly impacts operational efficiency and innovation. By building tools and prototypes, the intern helps accelerate the validation of new ideas, improves decision-making through data-driven outputs, and helps teams discover more efficient ways of working. This contribution can lead to faster development cycles and the quicker deployment of impactful AI solutions.

Growth Opportunities:

• Skill Specialization: Deepen expertise in Generative AI, LLMs, prompt engineering, and specific prototyping tools.

• Industry Exposure: Gain practical experience in the clinical science and healthcare technology domain, understanding its unique challenges and opportunities for AI.

• Project Leadership: Potentially take ownership of smaller prototyping projects, demonstrating initiative and project management capabilities.

• Networking: Build connections with professionals in AI, product management, and innovation, fostering future career opportunities.

• Mentorship: Receive guidance from experienced professionals, aiding in career development and skill enhancement.

📝 Enhancement Note: This internship is designed to provide a rich learning experience, focusing on practical skills and exposure to real-world AI application challenges. The growth opportunities are geared towards building a strong foundation for a career in AI and technology innovation, particularly within a specialized industry like clinical science.

🌐 Work Environment

Office Type: Hybrid work model, combining in-office collaboration with remote work flexibility. The Leuven office serves as a hub for in-person interaction and teamwork.

Office Location(s): Leuven, Belgium. This location is known for its strong presence in research and technology, particularly within the Katholieke Universiteit Leuven ecosystem.

Workspace Context:

• Collaborative environment that encourages experimentation and rapid iteration with AI tools.

• Access to relevant technology and software for AI prototyping, development, and demonstration.

• Opportunities for direct interaction with AI specialists, product managers, and innovation leaders.

• A dynamic setting focused on translating cutting-edge AI concepts into practical business applications.

Work Schedule: Part-time, with flexibility to accommodate academic commitments. The hybrid model allows for a blend of structured work and personal time management, ideal for interns balancing studies and professional development.

📝 Enhancement Note: The hybrid model in Leuven offers a balance of collaborative office interactions and the flexibility of remote work. This environment is conducive to an internship where learning and rapid development are key, allowing for focused individual work and team-based brainstorming sessions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and any submitted portfolio materials.

• Technical Interview: Discussion of AI concepts, Generative AI tools, prompt engineering, and basic programming skills. May include a live coding exercise or problem-solving scenario.

• Portfolio Presentation: A dedicated session to present a previously built AI prototype or project. This will involve explaining the concept, methodology, tools used, challenges faced, and outcomes.

• Behavioral/Fit Interview: Assessment of problem-solving approach, collaboration skills, learning agility, and cultural fit within the AI Innovation team and Clario's broader mission.

• Final Interview: Potentially with a senior leader, focusing on overall potential and alignment with the company's strategic goals.

Portfolio Review Tips:

• Showcase AI Application: Prioritize projects that clearly demonstrate the use of Generative AI, LLMs, or advanced AI techniques.

• Highlight "Builder" Mindset: Include examples of translating ideas into tangible prototypes, mockups, or functional tools.

• Demonstrate Process: Explain your thought process, the tools you used (mentioning Figma, Python, low-code platforms, etc.), and how you iterated on your designs.

• Quantify Impact (if possible): If your prototype aimed to solve a specific problem or improve a process, try to quantify the potential benefits or actual improvements observed.

• Clarity and Conciseness: Ensure your presentation is clear, concise, and easy to understand, even for those who may not be deeply technical AI experts. Focus on the "what," "why," and "how."

Challenge Preparation:

• AI Tool Familiarity: Be ready to discuss your experience with specific AI tools (ChatGPT, Bard, etc.) and prompt engineering techniques.

• Problem-Solving Scenarios: Practice thinking through hypothetical problems and how you might use AI prototyping to address them.

• Technical Fundamentals: Brush up on basic programming concepts (especially Python) and prototyping principles.

• Company Mission: Understand Clario's purpose ("transform lives by unlocking better evidence") and how AI innovation contributes to it.

📝 Enhancement Note: The emphasis on a portfolio demonstration is critical. Candidates should prepare to walk through their projects, explaining their technical choices and the problem-solving journey. This is a key differentiator for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Generative AI Platforms: ChatGPT, or similar LLM interfaces.

• Prototyping Tools: Figma, Sketch, Adobe XD, or other UI/UX design and prototyping software.

• Low-Code/No-Code Platforms: Potentially platforms like Power Apps, Bubble, or internal tools for rapid application development.

• Programming Languages: Python (for scripting, AI model interaction, data processing).

Analytics & Reporting:

• Tools for visualizing data and prototype performance (e.g., basic dashboarding in Python libraries like Matplotlib/Seaborn, or integration with BI tools if applicable).

• Potentially JIRA for tracking project tasks and inputs. CRM & Automation:

• While not directly mentioned, understanding how prototypes might integrate with existing CRM or automation workflows could be beneficial. Knowledge of API concepts for tool integration is a plus.

📝 Enhancement Note: The core technology stack revolves around Generative AI tools and prototyping software. Python is essential for any custom scripting or data manipulation. Familiarity with the broader ecosystem of AI development and integration tools would be advantageous.

👥 Team Culture & Values

Operations Values:

• Innovation: A strong drive to explore and implement new AI technologies.

• Collaboration: Working effectively across different teams and functions to achieve shared goals.

• Impact-Driven: Focusing on building solutions that deliver tangible value and advance Clario's mission.

• Curiosity & Experimentation: A willingness to explore uncharted territory and learn through hands-on experimentation.

• Agility: The ability to adapt quickly to new tools, techniques, and project requirements.

Collaboration Style:

• Open communication and knowledge sharing within the AI Innovation team.

• Cross-functional teamwork to ensure prototypes align with business needs and product strategies.

• Constructive feedback loops for iterative development and continuous improvement.

• A supportive environment that encourages learning and shared problem-solving.

📝 Enhancement Note: The team culture likely emphasizes a blend of cutting-edge AI exploration and a practical, results-oriented approach to innovation. The values support rapid development, continuous learning, and a collaborative spirit essential for translating complex AI concepts into real-world applications.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in Generative AI tools and techniques.

• Translating Ambiguity: Effectively converting vague ideas or business requirements into concrete, testable prototypes.

• Tool Integration: Understanding how different AI tools and platforms can be combined to create functional prototypes.

• Stakeholder Alignment: Ensuring that prototypes meet the expectations and needs of diverse stakeholders.

Learning & Development Opportunities:

• Hands-on AI Skill Development: Gaining practical experience with state-of-the-art Generative AI and prototyping tools.

• Industry Insight: Learning about the application of AI in the clinical science and healthcare technology sector.

• Cross-Functional Exposure: Working alongside experienced professionals in AI, product development, and innovation.

• Portfolio Building: Creating a strong portfolio of AI projects that can be leveraged for future career opportunities.

📝 Enhancement Note: The primary challenge is navigating the fast-paced AI field and effectively bridging the gap between conceptual ideas and practical, demonstrable prototypes. The growth opportunities are centered on practical skill acquisition and industry exposure.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used Generative AI to solve a problem or create something new. What was your process, and what were the results?" (Focus on your "builder" mindset and iterative process).

• "How would you approach prototyping an AI tool to help visualize clinical trial data trends for a non-technical audience?" (Demonstrate your ability to translate complex ideas and use prototyping tools).

• "Imagine you're given a dataset of user feedback. How would you use AI tools to quickly summarize and identify key themes?" (Showcase your understanding of LLMs and prompt engineering). Company & Culture Questions:

• "What interests you most about Clario and our mission to transform lives by unlocking better evidence?" (Connect your passion for AI with the company's purpose).

• "How do you approach learning new technologies, especially in a fast-evolving field like AI?" (Highlight your curiosity and learning agility).

• "Describe your experience working in a hybrid environment. How do you ensure effective collaboration and productivity?" (Address your autonomy and teamwork skills). Portfolio Presentation Strategy:

• Structure: Begin with the problem statement, introduce your AI solution, detail the tools and methods used, showcase the prototype (live demo or screenshots), discuss challenges and learnings, and conclude with the potential impact.

• Highlight AI Specifics: Emphasize the role of Generative AI, LLMs, and prompt engineering in your project.

• Show, Don't Just Tell: Be ready for a live demonstration if possible. If not, use clear visuals and concise explanations.

• Focus on Iteration: Explain how you refined your prototype based on feedback or new insights.

📝 Enhancement Note: Candidates should prepare to articulate their technical skills through concrete examples from their portfolio, demonstrating not just what they can build, but how they think and problem-solve using AI.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Workday platform.

• Portfolio Submission: Include a link to your online portfolio or attach a document showcasing your AI prototyping projects. This is a critical component of the application.

• Resume Tailoring: Ensure your resume highlights relevant skills such as Generative AI, prompt engineering, Python, Figma, prototyping, and your Master's program focus. Quantify achievements where possible.

• Cover Letter (Optional but Recommended): Briefly express your enthusiasm for Clario's mission and how your AI prototyping skills can contribute to their innovation efforts.

• Prepare for Interview: Review common AI prototyping interview questions, practice presenting your portfolio, and research Clario's work within Thermo Fischer Scientific.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, especially regarding compensation and specific role expectations, should be verified directly with the hiring organization before making application decisions. The "unpaid" nature of the internship in Belgium is a significant factor to consider.