AI Agent Builder
📍 Geneva, Zurich
Role and responsibilities
Identify high-value opportunities for AI agents and translate business needs into clear use cases.
Design and develop AI agents and AI-enabled applications, from rapid prototypes through testing and deployment.
Adapt and reuse proven capabilities where appropriate; build reusable assets that improve productivity, quality, knowledge access and client delivery.
Test solutions rigorously, iterate based on user feedback and contribute to technical documentation and reusable development patterns.
Collaborate with technology, risk and business specialists to progress solutions toward controlled and scalable use and help teams understand what agentic AI can realistically do.
Team / description
In Technology & Transformation, you’ll work with colleagues who bring together technology and business perspectives to help clients navigate change.
In the Technology & Transformation business line, we empower organisations to navigate the future through tech-enabled business transformation. That could mean shaping a technology strategy, improving how an organisation works or helping deliver a new solution. You’ll have opportunities to learn from different specialists, contribute your own ideas and build skills through practical project work.
At Deloitte, your ideas create impact and spark meaningful change for our clients, people and society. Your unique expertise, background, and perspective help us find new ways into the most complex challenges so we can brighten the futures of those our work affects.
With more than 460’000 employees globally, Deloitte is the largest professional services firm in the world, with offices in more than 150 countries.
In Switzerland, we provide a wide range of integrated services in the areas of Audit & Assurance, Tax & Legal, Strategy, Risk & Transactions, and Technology & Transformation. With around 2,500 employees at six locations, we serve companies and organisations of all sizes in every industry sector. Experience endless opportunities for professional growth, where you can bring in your entrepreneurial spirit while advising top-tier organizations on cutting-edge interdisciplinary projects within a global environment.
Join a collaborative culture where you can work flexibly alongside talented, inspiring colleagues from over 70 nationalities.
Qualifications and Skills
Recently graduated with a Master’s degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Robotics, Computational Science, Software Engineering or another strongly AI/engineering-related field.
Hands-on experience developing an AI agent or AI-enabled application for personal, educational, research or professional use.
A foundation in software development, together with hands-on exposure to modern generative-AI technologies.
The ability to combine engineering discipline with creativity.
Having developed an AI agent during your studies, as part of your master’s thesis, during a relevant internship or as a personal project would be an advantage.
Experience with some of the following would be valuable: LLM application development and agentic AI; tool/function calling and APIs; retrieval-augmented generation and vector search; prompt and context engineering; Git and modern software-development practices; AI evaluation and testing; structured and unstructured data processing; cloud or sandbox development environments.