# Director, AI Engineering at Acadia Pharmaceuticals

- Company: Acadia Pharmaceuticals
- What the company does: Acadia advances care for underserved neurological disorders and rare diseases. Since our founding, we have been working at the forefront of healthcare to bring vital solutions to people who need them most. Backed by NEA.
- Company website: https://acadia.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Princeton, New Jersey, United States; San Diego, California, United States; South San Francisco, California, United...
- Work setup: On-site
- Posted: 2026-09-01
- Apply by: 2026-10-16
- Apply: https://acadia.com/en-us/careers/job-board/8765717002?gh_jid=8765717002
- Page: https://www.1752.vc/careers/jobs/acadia-pharmaceuticals-director-ai-engineering/

## About the role

The Director, AI Engineering is a strategic technology leader responsible for shaping and advancing the enterprise AI application and agent ecosystem. This role owns the AI platform and agent framework layer that enables scalable, secure, and impactful AI-powered solutions across the organization.

## What they're looking for

- Engineer multi-agent coordination patterns enabling agents with distinct roles, data access, and functional scope to collaborate reliably on complex, multi-step business workflows
- Design and implement reusable agent templates, composable orchestration primitives, and agentic memory systems (short-term, long-term, episodic) that development teams and non-engineers can configure and deploy
- Build human-in-the-loop (HITL) escalation workflows and clearly defined agent action boundaries to ensure appropriate human oversight at high-risk decision points
- Establish and manage the enterprise prompt management system with versioning, governance workflows, A/B testing, rollback capabilities, and domain-specific prompt libraries for commercial, medical, and R&D functions
- Contribute to the enterprise AI strategy and portfolio roadmap, participate actively in the AI Governance Council providing expertise on agentic risk, safety, and platform governance
- Ensure all engineered solutions comply with global AI regulations, ethical AI standards, data privacy requirements (HIPAA, GDPR), applicable GxP processes, and enterprise security standards

Tags: Artificial Intelligence