Director, AI Engineering

Scorpion Therapeutics; South San Francisco (CA); Hybrid; USD 250,000 - 350,000; Full time

Benefits offered by this job

Remote work

Onsite at SSF (monthly)

Travel 10-20%

Job summary

Scorpion Therapeutics seeks a Director of AI Engineering to lead scalable AI capabilities across drug discovery, clinical development, and manufacturing. You will drive production AI apps, design a centralized AI platform, and oversee MLOps in a regulated biopharma setting.

You will mentor teams, collaborate with clinical and scientific groups, and ensure compliance and security across AI systems, with monthly onsite presence in South San Francisco.

Qualifications

• BA/BS in computer science or related field.
• 8+ years in AI, machine learning, or software engineering.
• Proficiency in Python, SQL, and cloud infrastructure (AWS, Azure, GCP).
• Experience deploying AI in regulated environments.
• Demonstrated leadership in technical teams and platform development.

Responsibilities

• lead development of production AI applications including generative AI, semantic search, and document intelligence;
• design and optimize a centralized AI platform;
• oversee ML lifecycle, CI/CD, and MLOps practices;
• partner with clinical and scientific teams to automate workflows and enhance data use;
• ensure AI systems meet regulatory and security standards;
• mentor engineering teams, evaluate vendors and models, and contribute hands-on coding.

Skills

Python

SQL

Cloud infrastructure (AWS/Azure/GCP)

AI/ML experience

Leadership

Regulated deployment

Education

BA/BS in Computer Science or related field

Job description

Role

Director of AI Engineering responsible for building and scaling AI capabilities across drug discovery, clinical development, and manufacturing within a biopharma setting focused on cardiovascular, metabolic, and pulmonary diseases.

Responsibilities

• lead development of production AI applications including generative AI, semantic search, and document intelligence;
• design and optimize a centralized AI platform;
• oversee ML lifecycle, CI/CD, and MLOps practices;
• partner with clinical and scientific teams to automate workflows and enhance data use;
• ensure AI systems meet regulatory and security standards;
• mentor engineering teams, evaluate vendors and models, and contribute hands-on coding.

Requirements

• BA/BS in computer science or related field;
• 8+ years in AI, machine learning, or software engineering;
• proficiency in Python, SQL, cloud infrastructure (AWS, Azure, GCP);
• experience deploying AI in regulated environments;
• demonstrated leadership in technical teams and platform development.

Preferred

• domain-specific experience in clinical trial automation, regulated content, scientific imaging, or healthcare data;
• familiarity with GxP, 21 CFR Part 11, and clinical study workflows.

High-Value

• focus on life sciences/clinical AI applications, regulated content management, and integration with scientific data;
• remote with monthly onsite presence in South San Francisco, 10-20% travel.