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Senior AI Engineer

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Frontiers Media
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CHF Yearly CHF 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Stellenbeschreibung

Who are we

At Frontiers, our purpose is simple and ambitious: to make all science open.

We believe open research empowers the global scientific community to accelerate discovery and develop the solutions needed for healthy lives on a healthy planet.

We are one of the world’s largest and most influential open-access research publishers. Every article we publish is peer-reviewed and quality-certified, ensuring rigorous science is freely accessible to everyone, everywhere. To date, Frontiers research has been viewed over 4 billion times, demonstrating the real-world impact of science without barriers.

Joining Frontiers means being part of a global, mission-driven organization at the intersection of science, technology, and innovation — working alongside passionate colleagues who care deeply about advancing knowledge for the benefit of society.

If you’d like to learn more about our impact and culture, explore:

  • Our Annual Reports:(Use the "Apply for this Job" box below).-reports
  • Our mission in action:
About the Role

We seek an exceptional Senior AI Engineer to lead the end-to-end design, development, and deployment of strategic AI initiatives. You will play a critical role in architecting scalable, robust, and secure AI and LLM-powered solutions, significantly impacting business operations and strategic decision-making.

In this role, you will guide cross‑functional teams, mentor junior and mid-level colleagues, and drive key technical decisions involving complex data engineering, advanced ML models, and next‑generation LLM methodologies.

Bring your deep technical expertise, strategic vision, and passion for AI innovation to our expanding team!

Key Responsibilities
  • Define comprehensive, scalable AI architectures, leading complex integration of data processing, traditional machine learning, and emerging LLM methodologies.
  • Direct development, deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts.
  • Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions.
  • Provide mentorship, guidance, and ongoing leadership to AI team members, driving quality and excellence, including documentation and knowledge‑sharing.
  • Lead troubleshooting and complex problem‑solving efforts, ensuring robust and reliable ML systems and LLM deployments.
Requirements
  • Typically 5–8+ years of professional AI experience, demonstrating a successful track record of leading and deploying enterprise‑scale AI systems.
  • Expert‑level proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes).
  • Extensive practical experience with production ML frameworks, advanced LLM models, fine‑tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow).
  • Exceptional communication, leadership, and strategic influencing skills, with expertise communicating complex technical concepts clearly across all stakeholder levels.
  • Proven problem‑solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques.
Nice‑to‑Have Skills
  • Proven ability in infrastructure as code (Terraform) for scalable AI solutions, sophisticated system design, and data governance practices.
  • Demonstrable experience in secure and robust AI deployments.
  • Deep interest and experience in generative AI, LLM innovation, and continuous professional knowledge‑building.
Benefits
  • Extra wellbeing days on top of your annual leave allowance
  • Up to 3 paid volunteering days each year
  • 24/7 confidential Employee Assistance Programme - wellbeing, mental health, legal & financial support
  • Learning & development support via the Frontiers Learning Hub
  • A locally relevant benefits package aligned to your country - e.g. healthcare and pension/retirement provision, where applicable
  • Collaboration‑led, office‑first culture - we prioritise in‑person teamwork, with role‑appropriate adjustments when needed, in line with company policy
  • International teams - a diverse, global culture and a strong peer‑learning environment
Equal opportunity statement

Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.

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Position Requirements
10+ Years work experience
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