Senior AI Engineer
Roche
Summary
Join our Data and Digital Catalyst organization as a Senior AI Engineer in AI Enablement, where you will partner closely with computational and research scientists to turn artificial intelligence into an everyday utility that accelerates drug discovery and development. Working in a cross-functional, impact-driven team, you will design, build, and scale modern AI/ML and agentic systems that unlock the full potential of our scientific data.
Job description
The Opportunity
Join our Data and Digital Catalyst organization as a Senior AI Engineer in AI Enablement, where you will partner closely with computational and research scientists to turn artificial intelligence into an everyday utility that accelerates drug discovery and development. Working in a cross-functional, impact-driven team, you will design, build, and scale modern AI/ML and agentic systems that unlock the full potential of our scientific data.
- Design, develop, and test robust, scalable scientific web applications, backend systems, and cloud-native architectures that power AI/ML workflows.
- Build foundational AgentOps capabilities—including evaluation frameworks, observability, secure execution environments, memory/retrieval systems, and model routing—to deploy and operate AI agents at scale.
- Establish AI data readiness capabilities by structuring, validating, and standardizing diverse scientific datasets to ensure reproducibility, traceability, and trustworthiness.
- Develop tooling to evaluate AI/ML model performance and define new metrics for assessing AI output quality.
- Partner directly with product managers, computational scientists, and research teams to translate complex scientific challenges into actionable technical specifications.
- Implement and evaluate emerging AI/ML algorithms, analytical techniques, and GPU performance optimizations to continuously evolve our modern tech stack.
Who you are
- You hold a Bachelor’s degree with 5+ years of relevant experience (or a Master’s degree with 3+ years) in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background.
- You bring strong proficiency in AI/ML frameworks, statistical modeling, machine learning theory, and GPU/ML performance optimization.
- You have hands-on experience building cloud-native architectures (ideally AWS) using Kubernetes alongside relational, NoSQL, or data lake storage systems.
- You apply software engineering best practices across the full stack and demonstrate agility in quickly picking up new technologies and languages.
- You communicate clearly and excel at building trusted, collaborative partnerships across technical and non-technical teams.
Preferred
- Experience working with biological data, scientific imaging, or within a life sciences research environment.
- Hands-on experience building and deploying Generative AI solutions, autonomous agents, or workflow automation tools.
Requirements
- Bachelor’s degree with 5+ years of relevant experience (or Master’s degree with 3+ years) in Computer Science, Machine Learning, Software Engineering, or equivalent practical background
- Strong proficiency in AI/ML frameworks, statistical modeling, machine learning theory, and GPU/ML performance optimization
- Hands-on experience building cloud-native architectures (ideally AWS) using Kubernetes alongside relational, NoSQL, or data lake storage systems
- Apply software engineering best practices across the full stack
- Agility in quickly picking up new technologies and languages
- Clear communication and ability to build trusted, collaborative partnerships across technical and non-technical teams
Benefits
- Discretionary annual bonus
- Hybrid schedule (3 days on campus)
Company overview
Roche is a Swiss multinational healthcare company and a global pioneer in pharmaceuticals and diagnostics, founded in 1896 and headquartered in Basel, Switzerland. As the world's largest biotech company and the fifth-largest pharmaceutical company by revenue, Roche operates through two primary divisions: Pharmaceuticals and Diagnostics. The company is renowned for its leadership in personalized healthcare, combining strengths in both drug development and diagnostic testing to deliver tailored treatments for patients. Roche maintains a strong focus on oncology, immunology, infectious diseases, ophthalmology, and central nervous system disorders, with a portfolio that includes over 30 medicines on the World Health Organization's Model Lists of Essential Medicines. The company owns significant subsidiaries including Genentech, Chugai Pharmaceuticals, Ventana Medical Systems, and Foundation Medicine. With approximately 103,000 employees worldwide and operations in over 100 countries, Roche has established itself as a leader in cancer treatments globally while maintaining a robust pipeline of innovative therapies and diagnostic solutions. The company's commitment to sustainability has been recognized through ten consecutive years as Group Leader in the Dow Jones Sustainability Indices within the Pharmaceuticals, Biotechnology & Life Sciences Industry.