Manager, AI Engineering

About Acadia Pharmaceuticals

Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference.

Please note that this position can be based in San Diego, CA, San Francisco, CA or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Manager, AI Engineering plays a key role in advancing Acadia’s enterprise AI and analytics capabilities. This role designs, builds, and deploys scalable AI/ML and GenAI solutions that deliver measurable business impact across R&D, Commercial, and Corporate functions. As a core member of the Artificial Intelligence organization, the Manager will contribute to the enterprise AI strategy, support responsible AI governance, and help operationalize advanced analytics and machine learning at scale across Acadia globally.

Primary Responsibilities

Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
Other duties as assigned

Education/Experience/Skills

Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
Experience operating in a regulated environment and following GxP or similar compliance processes
Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

In addition to a competitive base salary, this position is also eligible for discretionary bonus and equity awards based on factors such as individual and organizational performance. Actual amounts will vary depending on experience, performance, and location.

Salary Range

$150,300—$187,900 USD

What we offer US-based Employees:

Competitive base, bonus, new hire and ongoing equity packages
Medical, dental, and vision insurance
Employer-paid life, disability, business travel and EAP coverage
401(k) Plan with a fully vested company match 1:1 up to 5%
Employee Stock Purchase Plan with a 2-year purchase price lock-in
15+ vacation days
13 -15 paid holidays, including office closure between December 24th and January 1st
10 days of paid sick time
Paid parental leave benefit
Tuition assistance

EEO Statement (US-based Employees): Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candida