- South San Francisco, California, United States
- Hybrid
- Full-time · Senior
- $168K–$312K per year
- 5–3 years
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.
Compensation
The expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
- 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.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background
- Master’s degree in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background