Director, AI Engineering

Role: The 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.