DirectJobHub
Jobs · Engineering · Pennsylvania

Senior Director, Agentic AI and Automation

Madrigal Pharmaceuticals · Conshohocken, PA · 2 wk ago
Engineering$256k–$312k/yrFull-time

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.

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.

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: Leads multi-disciplinary squads and influences enterprise-wide AI & automation strategy. Operates with significant autonomy to set technical direction and allocate resources.

  • Problem Solving: Applies deep expertise in ML, generative AI, and systems engineering to solve complex, cross-domain challenges. Leverages quantitative skills to inform data-driven decisions and optimize agentic workflows.

  • Impact: Accelerates operational efficiency, compliance, and patient outcomes by embedding intelligent automation across critical functions. Establishes Madrigal as a leader in safe, regulated agentic AI deployment.

Similar jobs