Director of AI Engineering: Production AI Leader (Remote)

Aimlroles; South San Francisco (CA); On-site; USD 248,000 - 310,000; Full time

Benefits offered by this job

Annual bonus

New hire equity

Ongoing performance-based equity

Medical insurance

Dental insurance

Vision insurance

401k match

Unlimited PTO

Holidays including winter shutdown

Job summary

Structure Therapeutics Inc. seeks a Director of AI Engineering to build and scale production AI capabilities across drug discovery, clinical development, manufacturing, and business operations.

This is a hands-on player-coach position. Approximately 60-70% of the role will involve direct technical contribution: writing and reviewing code, developing AI applications, building model and data pipelines, creating evaluation frameworks, troubleshooting deployments, and converting prototypes into

Qualifications

• Hands-on leadership with hands-on coding in production AI systems.
• Experience building AI/machine-learning capabilities from prototyping to production.
• Familiarity with cloud AI and data infrastructure and MLOps practices.

Responsibilities

• Design, code, test, and deploy production AI applications and services.
• Build AI platform and shared services for model access and workflow management.
• Lead AI lifecycle from data ingestion to deployment and monitoring.
• Mentor engineers and maintain high engineering standards.
• Collaborate with scientists, product, and business leaders.

Skills

Python

SQL

CI/CD

MLOps

LLMOps

AI architecture

Team leadership

Education

BA/BS in Computer Engineering

MBA (plus)

Advanced degree in CS/Engineering/Data Science

Tools

Python

Cloud (AWS/Azure/Google)

Docker/Kubernetes

Model serving

Observability

Job description

Structure Therapeutics Inc. seeks a Director of AI Engineering to build and scale production AI capabilities across drug discovery, clinical development, manufacturing, and business operations.

This is a hands-on player-coach position. Approximately 60-70% of the role will involve direct technical contribution: writing and reviewing code, developing AI applications, building model and data pipelines, creating evaluation frameworks, troubleshooting deployments, and converting prototypes into