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Job Summary:
Madrigal Pharmaceuticals is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH). They are seeking a Senior Director for Agentic AI and Automation to lead the vision and deployment of AI-enabled workflows that enhance decision-making and operational efficiency across various functions.
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 prioritise high‑value automations across the business.
• 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.
• 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).
• 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.
Qualifications:
Required:
• 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.
• Extensive leadership experience managing cross‑functional technology teams in regulated industries.
Company:
Madrigal Pharmaceuticals is a biopharmaceutical company developing therapeutics for the treatment of cardiovascular-metabolic diseases. Founded in 2016, the company is headquartered in Conshohocken, USA, with a team of 501-1000 employees. The company is currently Late Stage.