Senior Director, Argentic AI and Automation

Madrigal is a biopharmaceutical company pursuing novel therapeutics for non-alcoholic steatohepatitis (NASH), also known as metabolic dysfunction associated steatohepatitis (MASH). Our first therapy, Rezdiffra (resmetirom), was granted accelerated approval by the U.S. Food and Drug Administration (FDA) for the treatment of adults with NASH with moderate to advanced liver fibrosis (consistent with stages F2 to F3 fibrosis) and is being studied in a Phase 3 trial for the treatment of NASH with compensated cirrhosis.

Job Title: Senior Director, Agentic AI & Automation

Department: IT

Manager: Executive Director, AI and Data Science

Job Profile Summary

• Madrigal Pharmaceuticals is seeking an innovative, systems‑thinking leader to set the vision, design, and enterprise‑wide deployment of agentic workflows—AI‑enabled, plan–act–reflect automations that learn over time and augment human decision‑making. You will orchestrate autonomous or semi‑autonomous digital agents across R&D, Commercial, Medical Affairs, and Corporate functions, accelerating operational efficiency and unlocking the full potential of generative and agentic AI within a regulated biotech environment.

Role & Responsibility

• 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 prioritise high‑value automations across the business.

Responsibility Statements

• Strategic Leadership & Hyperautomation Vision

• Define and execute a multi‑year roadmap converging agentic AI, RPA, and process‑mining.
• Operationalize an Agentic Automation CoE—governing standards, reusable templates, and ROI tracking.
• Partner with executive stakeholders to prioritise high‑value automations (clinical, commercial, PV, manufacturing).
• Champion MCP and agent‑orchestration patterns for future‑proof integration.

• Technology & Architecture

• 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.
• Standardise integration with vector stores and cloud MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI).

• Automation, Integration & Governance

• 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.

• Intelligent Process Discovery & Product Execution

• 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.

• Innovation & Partnerships

• 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.

Qualifications

• 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 incl. LLMs (GPT‑4, BERT, LLaMA, Dolly) and RAG pipelines.
• 8+ years building web apps (Dash, Streamlit, Shiny) and advanced data products.
• 8+ years implementing scalable AI/ML on platforms like Databricks or Dataiku, with strong AI/MLOps.
• Deep knowledge of cloud data platforms (AWS, Azure, GCP) and compliance (GxP, HIPAA, GDPR).
• Strong theoretical foundation in ML/AI with contributions to papers and presentations.
• Exceptional written & verbal communication skills translating complex research to executives.

Leadership/Autonomy