AI Engineer

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!, * 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.

• 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.

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, 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.