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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. The successful candidate will drive the development of enterprise-grade capabilities including reusable agent templates, multi-agent orchestration, an internal agent publishing platform, self-service RAG solutions, tool and skill registries, prompt management, and evaluation and output validation frameworks. This leader will balance deep technical expertise with a passion for creating intuitive, low-code experiences that empower business users to independently build and deploy AI solutions. Partnering closely with IT, Cybersecurity, Enterprise Architecture, and business stakeholders, the Director will ensure the AI platform remains secure, governed, scalable, and aligned with organizational objectives while delivering measurable business value and accelerating AI adoption across the enterprise.

Responsibilities

Architect and maintain the enterprise agent platform using frameworks such as LangGraph, CrewAI, Anthropic Agents SDK, and OpenAI Agents SDK.
Engineer multi-agent coordination patterns for collaboration on complex business workflows.
Design and implement reusable agent templates, composable orchestration primitives, and agentic memory systems.
Build human-in-the-loop (HITL) escalation workflows and clearly defined agent action boundaries.
Lead the design and delivery of a self-service RAG builder with a low-code interface.
Build and operate an enterprise tool and skill registry for secure agent invocation.
Establish and manage the enterprise prompt management system with versioning and governance workflows.
Own the evaluation and benchmarking methodology for agentic systems, implementing automated regression detection.
Design and implement multi-layer guardrail frameworks aligned with AI governance policy.
Apply product thinking and user-centered design to platform tooling, tracking adoption metrics and gathering user feedback.
Contribute to the enterprise AI strategy and portfolio roadmap, participating in the AI Governance Council.
Ensure all engineered solutions comply with global AI regulations, ethical AI standards, data privacy requirements, GxP processes, and enterprise security standards.
Mentor engineers and foster a culture of rigorous evaluation, responsible experimentation, and continuous improvement.
Other responsibilities as assigned.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline required; advanced degree preferred.
8+ years of experience in AI/ML, software engineering, or a related field.
4+ years of current, hands-on experience building production-grade agentic AI systems and LLM-powered applications.
Experience delivering self-service or platform tooling adopted by non-technical users.
Expert-level proficiency with at least two major agent frameworks such as LangGraph, CrewAI, Anthropic Agents SDK, or OpenAI Agents SDK.
Expert-level experience designing and implementing RAG solutions.
Hands-on experience developing enterprise AI capabilities including evaluation frameworks, guardrails, agent memory systems, human-in-the-loop workflows, tool registries, skill registries, and prompt management platforms.
Experience building or integrating Model Context Protocol (MCP) servers.
Proficiency in Python and machine learning frameworks such as PyTorch, scikit-learn, and Hugging Face Transformers.
Strong understanding of LLM architectures and traditional machine learning techniques.
Experience leveraging AI-assisted development tools.
Experience working within regulated environments and AI governance frameworks, including GxP, NIST AI RMF, EU AI Act, or similar compliance standards.
Biopharmaceutical industry experience, including familiarity with commercial, medical, research, clinical, or market access functions and relevant healthcare data sources.
Willingness and ability to travel domestically and internationally as needed.
An equivalent combination of education and relevant experience may be considered.
Other duties as assigned.

Skills

LangGraph
CrewAI
Anthropic Agents SDK
OpenAI Agents SDK
RAG solutions
Python
PyTorch
scikit-learn
Hugging Face Transformers
LLM architectures
Machine learning techniques
AI-assisted development tools
AI governance frameworks
GxP
NIST AI RMF
EU AI Act

Location

San Diego, CA
South San Francisco, CA
Princeton, NJ

Work Type

Hybrid

Experience Level

8+ years of experience in AI/ML, software engineering, or a related field
4+ years of current, hands-on experience building production-grade agentic AI systems and LLM-powered applications

Education Level

Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline
Advanced degree preferred

Salary/Compensations

$201,800—$252,300 USD

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

About the Company

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.

Equal Opportunity

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 candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn’t exactly what we describe here.
It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law.
As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia’s career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923.
Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment.
California Applicants: Please see Additional Information for California Residents within our Privacy Policy.
Canadian Applicants: Please see Additional Information for Canadian Residents within our Privacy Policy.
Applicants in the European Economic Area, Switzerland, the United Kingdom, and Serbia: Please see Additional Information for Individuals in the European Economic Area, Switzerland, the United Kingdom, and Serbia within our Privacy Policy.
Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters): The Talent Acquisition team manages the recruitment and employment process for Acadia Pharmaceuticals Inc. (“Acadia”). Acadia does not accept resumes from recruiters or search firms without an executed search agreement in place. Resumes sent to Acadia employees in the absence of an executed search agreement will not obligate Acadia in any way with respect to the future employment of those individuals or potential remuneration to any recruiter or search firm. Candidates should never be submitted directly to our hiring managers or employees.