Director, Enterprise AI Platform & Agent Solutions

ACADIA Pharmaceuticals Inc.; Princeton (NJ); Hybrid; USD 202,000 - 252,000; Full time

Benefits offered by this job

Competitive compensation

Medical, dental, vision

401(k) match

Employee stock purchase plan

Vacation days

Paid holidays

Sick leave

Parental leave

Tuition assistance

Job summary

Acadia Pharmaceuticals Inc. is seeking a Director of AI Engineering to lead the enterprise AI platform and agent ecosystem. You will own the platform, enabling scalable, secure AI-powered solutions across the organization, with a focus on low-code experiences for business users.

The role drives reusable templates, agent memory systems, RAG capabilities, tool registries, and governance, while collaborating with IT, security, and stakeholders to maximize business value and AI adoption.

Qualifications

• 8+ years in AI/ML or software engineering.
• 4+ years building production‑grade agentic AI systems and LLM‑powered applications.
• Experience delivering self-service or platform tooling adopted by non-technical users.

Responsibilities

• Architect and maintain the enterprise agent platform and publish/version agents.
• Engineer multi-agent coordination patterns for cross-functional workflows.
• Design reusable templates, orchestration primitives, and agent memory systems.

Skills

LangGraph

CrewAI

Anthropic Agents SDK

OpenAI Agents SDK

RAG

Python

PyTorch

Hugging Face Transformers

Education

Bachelor’s degree in Computer Science / Software Engineering / ML / AI

Advanced degree preferred

Job description

Acadia Pharmaceuticals Inc. is seeking a Director of AI Engineering to lead the enterprise AI platform and agent ecosystem. You will own the platform, enabling scalable, secure AI-powered solutions across the organization, with a focus on low-code experiences for business users.

The role drives reusable templates, agent memory systems, RAG capabilities, tool registries, and governance, while collaborating with IT, security, and stakeholders to maximize business value and AI adoption.