AI Scientist

Artificialy; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

Artificialy in Switzerland is seeking an AI Scientist to design and deliver LLM-based solutions for clients in the financial sector. You will own solution design and evaluation within a project team, from early experimentation through delivery, and collaborate with engineers and domain experts to integrate solutions into enterprise ecosystems.

The role can be based in Lugano or Zurich; you will be onsite at least 80% of the time.

Qualifications

• Master's degree or PhD in CS, Math, Engineering, or related field.
• 5+ years of AI Scientist experience or PhD.
• Hands-on experience building LLM-based systems (RAG, agents, fine-tuning).
• Proficient in Python/SQL and ML libraries (PyTorch, TensorFlow, Scikit-learn).
• Excellent communication with technical and non-technical stakeholders.
• Proficient in English and German.

Responsibilities

• Own the full lifecycle of LLM initiatives from experimentation to delivery.
• Work on retrieval-augmented generation, agentic systems, fine-tuning, evals and benchmarks.
• Collaborate with software, infra and domain experts to integrate solutions and present results to stakeholders.

Skills

LLM-based systems

Hands-on RAG/agents/fine-tuning

Python

SQL

Communication

English & German

Education

Master's or PhD in CS/Math/Engineering

5+ years AI Scientist experience or PhD

Tools

PyTorch

TensorFlow

Scikit-learn

Python

Job description

Artificialy is an AI company based in Switzerland, with offices in Lugano and Zurich. We design and deliver AI solutions that are impactful, transparent, and tailored to real-world industry needs.

Founded in 2020 by pioneers with over 40 years of combined experience in the field, our team brings together talented engineers, physicists, and mathematicians from across Europe. We are driven by curiosity, technical excellence, and a shared ambition to build AI systems that make a tangible difference.

We are looking for a AI Scientist, who will work with clients in the financial sector to design and develop LLM-based solutions from early experimentation through to evaluation and delivery. You will own solution design and evaluation methodology within a project team, across a varied project portfolio.

This position can be based in Lugano or Zurich. You must be willing to work onsite at least 80% of the time. Candidates must be based in Switzerland or willing to relocate to Switzerland.

About The Role

• Your responsibilities will span the full lifecycle of LLM-based initiatives, from early experimentation and solution design through evaluation, delivery, and continuous improvement
• Projects may involve retrieval-augmented generation, agentic systems, fine-tuning, LLM-based evaluation frameworks (benchmarks, LLM-as-judge, error analysis), or other applied generative-AI solutions across a varied project portfolio
• You will own solution design and evaluation methodology within project teams, collaborating with software engineering, infrastructure, and domain experts to integrate solutions into enterprise ecosystems and present results to technical and non-technical stakeholders alike

Qualifications and Skills:

• Master's degree or PhD in Computer Science, Mathematics, Engineering, or equivalent
• 5+ years of working experience as AI Scientist or in a similar role or PhD
• Hands-on experience building LLM-based systems (RAG, agents, fine-tuning, or similar)
• Strong programming skills (Python, SQL) and experience with ML libraries (PyTorch, TensorFlow, Scikit-learn, etc.)
• Strong communication and presentation skills to technical and non-technical stakeholders
• Proficiency in English and German

Nice to Have:

• Experience in finance or other regulated industries
• Journal publications
• Hands-on experience with cloud platforms (Azure preferred)

We offer:

• Competitive compensation and growth opportunities
• A stimulating scientific environment with an informal working atmosphere
• Mentorship and continuous learning and close relationship with cutting-edge research teams