Director, AI Engineering

Scorpion Therapeutics; South San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Acadia seeks a Director of AI Engineering to lead the development and management of its enterprise AI platform. You will architect scalable agent-based systems and drive reusable templates across teams.

This role collaborates with IT, Cybersecurity, and business units to promote AI adoption while adhering to GxP, GDPR, and HIPAA; requires 8+ years in AI/ML and deployment of production AI.

Qualifications

• Requires 8+ years in AI/ML or software engineering.
• At least 4 years deploying production-grade agentic AI systems and LLM applications.
• Experience with regulated environments and AI governance is preferred.

Responsibilities

• Lead development and management of Acadia's enterprise AI platform.
• Architect multi-agent systems and reusable templates.
• Implement self-service RAG solutions and governance.
• Ensure AI safety, compliance, and regulatory alignment (GxP, GDPR, HIPAA).
• Collaborate with IT, Cybersecurity, and business units.

Skills

Agent frameworks

RAG techniques

Python

PyTorch

Hugging Face

OpenAI SDK

LangGraph

CrewAI

Education

Bachelor's degree in a technical field

Tools

LangGraph

CrewAI

Job description

Director of AI Engineering

Leads the development and management of Acadia's enterprise AI platform, focusing on building scalable, secure, and user-friendly AI solutions for the organization. Responsibilities include architecting multi-agent systems, designing reusable templates, implementing self-service RAG solutions, managing tool and prompt governance, and ensuring AI safety and compliance. The role involves close collaboration with IT, Cybersecurity, and business units to promote AI adoption while adhering to global regulations like GxP, GDPR, and HIPAA.

Qualifications: requires a Bachelor's in a technical field, 8+ years in AI/ML or software engineering, with at least 4 years in deploying production-grade agentic AI systems and LLM applications. Expertise in agent frameworks (e.g., LangGraph, CrewAI, OpenAI SDK), RAG techniques, Python, and ML frameworks (PyTorch, Hugging Face) is essential. Preferred experience includes biopharma or healthcare industry knowledge, familiarity with regulated environments, and AI governance standards. The position is hybrid with three days onsite in San Diego, South San Francisco, or Princeton, NJ, and may involve international travel.