Manager, AI Engineering

Acadia Pharmaceuticals Inc.•Princeton, NJ

4h•Hybrid

About The Position

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.

Requirements

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

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

Benefits

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