Responsibilities
- Design and build agentic AI systems, state machines, search-based conversational systems, and multimodal foundation-model workflows.
- Implement Model Context Protocol servers and clients and integrate agents with data sources and external tools.
- Develop production-ready Python and occasional TypeScript across frontend, backend, and infrastructure tasks.
- Manage DevOps and MLOps lifecycles, including Docker-based containerization, CI/CD, and cloud-native deployment on AWS and multicloud environments.
- Perform exploratory data analysis, feature engineering, statistical analysis, visualization, and data pipeline development.
- Design, customize, optimize, and fine-tune LLM-based and traditional AI algorithms, including classification, clustering, and regression models.
- Develop prompt-engineering strategies and optimize inference speed, latency, caching, and resource usage.
- Implement evaluation, A/B testing, metric pipelines, monitoring, observability, drift detection, and anomaly identification for AI systems.
- Translate technical findings into actionable insights and consult with stakeholders on technology approaches.
Requirements
- 7+ years of experience in AI/ML engineering and data science, including exposure to generative AI, agents, and classical ML.
- 3+ years of hands-on experience with generative large language models and agents.
- Proven experience managing the end-to-end MLOps lifecycle and deploying models at scale.
- Advanced production-grade Python proficiency; TypeScript proficiency is an advantage.
- Deep expertise with LangChain or similar LLM orchestration frameworks, agentic system design, and state-machine logic.
- Practical AWS cloud solution design experience, including familiarity with Amazon Bedrock and SageMaker; multicloud experience is a plus.
- Strong knowledge of vector, graph, traditional, SQL, NoSQL, and data-lake technologies, including AWS OpenSearch and Snowflake.
- Expertise in API design, CI/CD, Docker, Infrastructure as Code, automated testing, statistics, data manipulation, synthetic data generation, and feature engineering.
- Ability to define architectural patterns, take ownership, collaborate with enterprise stakeholders, and step into a Tech Lead role when necessary.
- Understanding of bias, fairness, hallucination mitigation, and responsible AI deployment.
- Bachelor's, master's, or doctoral degree or equivalent in Computer Science, Physics, Statistics, Mathematics, Engineering, or a related field.
- C1+ English communication proficiency and willingness to occasionally work across the Central European Timezone.
Benefits
- Opportunity to work on cutting-edge agentic AI technologies in Roche's highly visible Digital Technology function.
- Career growth through ownership of complex, high-impact end-to-end AI systems.
- Collaborative, diverse, and inclusive environment focused on technical excellence and rapid innovation.
- Roche is an Equal Opportunity Employer.
Tech Stack
Categories
About Roche
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI). For more information, please visit https://careers.roche.com Read our community guidelines here: https://www.roche.com/some-guidelines.htm #Roche #Biotechnology #Pharmaceuticals #Diagnostics #Healthcare #PersonalisedHealthcare #GreatPlaceToWork #Innovation