Senior Director, Agentic AI and Automation at Acadia Pharmaceuticals

Conshohocken, Pennsylvania, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biopharmaceutical, BiotechnologyIndustries

Requirements

Advanced degree (Ph.D. preferred) in AI, Data Science, Computer Science, Applied Mathematics, Engineering, Physics, or related field
15+ years leading AI/ML or intelligent-automation initiatives
10+ years hands-on with Python, SQL, R, MATLAB, PyTorch, Keras, Git
12+ years architecting ML/deep-learning solutions including LLMs (GPT-4, BERT, LLaMA, Dolly) and RAG pipelines
8+ years building web apps (Dash, Streamlit, Shiny) and advanced data products

Responsibilities

Define and execute a multi-year agentic AI & RPA roadmap converging hyperautomation, process-mining, and LLM-driven workflows
Operationalize an Agentic Automation Center of Excellence (CoE) governing standards, reusable assets, and ROI tracking
Partner with cross-functional executives to prioritize high-value automations across the business (clinical, commercial, PV, manufacturing)
Architect modular multi-agent systems powered by frontier LLMs and leading agent frameworks (LangChain family, AutoGen, CrewAI, etc.)
Design secure agent-to-agent (A2A) communication with shared memory, credential vaults, RBAC
Implement enterprise MCP engine and Agent Protocol standards enabling human–agent–bot collaboration
Standardize integration with vector stores and cloud MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI)
Build event-driven, low-code pipelines (n8n, Dify, Glean) to trigger agentic RPA tasks in real time
Implement observability and governance (Arcade.dev, AgentOps, Langfuse)
Establish robust testing harnesses and GxP-compliant validation for every autonomous workflow
Leverage process- & task-mining insights to auto-generate automation backlogs and measure value
Lead a multi-disciplinary squad of AI automation architects, prompt engineers, and product managers
Drive iterative product delivery using agile OKRs, rapid POCs, and continual KPI evaluation
Experiment with cutting-edge agent research (ReWOO, SuperAGI, CAMEL) and open-source Agentic RPA
Collaborate with open-source communities, cloud partners, and leading vendors
Set standards for agent safety, ethical AI, and closed-loop feedback
Forge deep partnerships with Enterprise Data, IT Infrastructure, and Cybersecurity teams
Champion MCP and agent-orchestration patterns for future-proof integration

Skills

Agentic AI

RPA

Process Mining

LLM

Hyperautomation

Generative AI

AI Orchestration

Systems Thinking

Acadia Pharmaceuticals

Develops therapies for neurological disorders

About Acadia Pharmaceuticals

Acadia Pharmaceuticals develops therapies for neurological disorders, focusing on conditions like Parkinson's disease, schizophrenia, and Rett syndrome. The company conducts extensive research and clinical trials to create drugs that are safe and effective, seeking approval from regulatory bodies like the FDA before bringing them to market. Acadia differentiates itself by targeting areas with significant unmet medical needs, ensuring that their products address critical health challenges. Their goal is to improve the quality of life for patients suffering from these disorders while also promoting diversity, equity, and inclusion within their operations.

Dallas, TexasHeadquarters

1993Year Founded

$813.4MTotal Funding

ACQUISITIONCompany Stage

Biotechnology, HealthcareIndustries

501-1,000Employees