Agentic AI Lead for Scientific Workflows

Monte Rosa Therapeutics, Inc; Basel; On-site; CHF 180,000 - 270,000; Full time

Job summary

Monte Rosa Therapeutics, Inc. is seeking a hands-on technical leader to define and build an agentic AI strategy and production systems that scientists use daily—from discovery through clinical development.

You will drive architecture, data integration, and scalable workflows across discovery, translational science, clinical development and commercialization. The role requires strong Python and production engineering skills, experience deploying LLM-based or agentic systems, and a track record

Qualifications

• PhD in a quantitative field; strong applied ML track record.
• Proven record building and deploying LLM-based or agentic systems.
• Experience delivering production ML systems with human-in-the-loop.

Responsibilities

• Own the vision, architecture and roadmap for agentic AI across discovery, translational science, clinical development and commercialization.
• Identify high-value scientific workflows and redesign them around AI agents from first principles.
• Build data and knowledge layers agents need, integrating omics, clinical, chemistry, assay, literature, patent and regulatory data.
• Develop connectors, APIs, semantic and metadata layers, and retrieval systems for reliable data access.
• Deploy secure, auditable agentic systems with human-in-the-loop oversight, tracing, permissioning and monitoring.
• Establish rigorous evaluation frameworks: benchmarks, provenance checks, failure-mode analysis, reproducibility, latency and cost tracking.
• Partner with scientists to turn research needs into products and move prototypes to adopted workflows.
• Drive adoption of agentic-first ways of working through demos, partnerships, training and reusable patterns.
• Track advances in foundation models and turn them into practical internal capabilities.
• Define outcome-based success measures and mentor the AI team as the organization scales.

Skills

Python

Production engineering

LLM-based systems

Agent architectures

Multi-modal models

Human-in-the-loop design

Education

PhD in quantitative field (ML, CS, stats, bioinformatics, physics, engineering)

Tools

APIs

Testing

Containers

Cloud deployment

Observability

Knowledge graphs

Job description

Monte Rosa Therapeutics, Inc. is seeking a hands-on technical leader to define and build an agentic AI strategy and production systems that scientists use daily—from discovery through clinical development.

You will drive architecture, data integration, and scalable workflows across discovery, translational science, clinical development and commercialization. The role requires strong Python and production engineering skills, experience deploying LLM-based or agentic systems, and a track record