We are on a mission to make all science open, enabling the research community to develop the solutions we all need to live healthy lives on a healthy planet.

Frontiers is one of the world’s largest and most impactful research publishers, dedicated to making peer-reviewed, quality-certified science openly accessible. Our articles have been viewed 4 billion times, reflecting the power of research that is open for all.

Follow the links below to learn more about our work.

www.frontiersin.org/about/annual-reports

www.youtube.com/watch?v=87ejFfnQzko

What we can offer you

At Frontiers, our working model for new roles includes a balanced approach that fosters collaboration through regular engagement at our office hubs in key locations. While we value flexibility, we also believe that shared in-person time strengthens team culture, trust, and productivity.

We provide a range of benefits across our global locations, including but not limited to:

• 4 additional wellbeing days in addition to existing annual leave allowance

• Access to learning platforms and dedicated learning & development time

• A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan

• Employees can dedicate three days each year to volunteer

• Additional benefits depending on your location (e.g. pension plan and private medical care)

About the Role: 

We seek an exceptional 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.

Required Skills and Experience: 

• 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.