Senior Director, Agentic AI and Automation
Madrigal Pharmaceuticals
June 30, 2026
Remote friendly (Conshohocken, PA)
United States
IT
Job Title: Senior Director, Agentic AI & Automation
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) with governing standards, reusable assets, and ROI tracking.
- Partner with cross-functional executives to prioritize high-value automations across clinical, commercial, PV, and manufacturing.
- Champion MCP and agent-orchestration patterns for future-proof integration.
Technology & Architecture
- Architect modular multi-agent systems powered by frontier LLMs and agent frameworks (e.g., LangChain, AutoGen, CrewAI).
- Design secure agent-to-agent (A2A) communication (shared memory, credential vaults, RBAC).
- Implement enterprise MCP engine and Agent Protocol standards for human–agent–bot collaboration.
- Standardize integrations with vector stores and cloud MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI).
Automation, Integration & Governance
- Build event-driven, low-code pipelines (e.g., 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 autonomous workflows.
- Use process/task-mining insights to generate automation backlogs and measure value.
Intelligent Process Discovery & Product Execution
- Lead multidisciplinary squads (AI automation architects, prompt engineers, product managers).
- Deliver iteratively using agile OKRs, rapid POCs, and continual KPI evaluation.
Innovation & Partnerships
- Experiment with cutting-edge agent research and open-source Agentic RPA.
- Set standards for agent safety, ethical AI, and closed-loop feedback.
- Partner with Enterprise Data, IT Infrastructure, and Cybersecurity teams.
Qualifications
- 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.
- 8+ years implementing scalable AI/ML on Databricks or Dataiku with strong AI/MLOps.
- Deep knowledge of cloud platforms (AWS/Azure/GCP) and compliance (GxP, HIPAA, GDPR).
- Strong ML/AI theoretical foundation; exceptional written/verbal communication.
Leadership/Autonomy
- Lead multi-disciplinary squads; influence enterprise-wide AI & automation strategy with significant autonomy.
Benefits (explicitly stated)
- Base salary range: $255,600–$312,000 per year; equity; flexible paid time off; medical, dental, vision, life/disability insurance; 401(k); supplemental life and legal services; Employee Assistance Program.
Application Instructions
- Apply via the Madrigal Careers site (applications accepted on an ongoing basis).
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) with governing standards, reusable assets, and ROI tracking.
- Partner with cross-functional executives to prioritize high-value automations across clinical, commercial, PV, and manufacturing.
- Champion MCP and agent-orchestration patterns for future-proof integration.
Technology & Architecture
- Architect modular multi-agent systems powered by frontier LLMs and agent frameworks (e.g., LangChain, AutoGen, CrewAI).
- Design secure agent-to-agent (A2A) communication (shared memory, credential vaults, RBAC).
- Implement enterprise MCP engine and Agent Protocol standards for human–agent–bot collaboration.
- Standardize integrations with vector stores and cloud MLOps platforms (Azure AI Search, Databricks, SageMaker, Vertex AI).
Automation, Integration & Governance
- Build event-driven, low-code pipelines (e.g., 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 autonomous workflows.
- Use process/task-mining insights to generate automation backlogs and measure value.
Intelligent Process Discovery & Product Execution
- Lead multidisciplinary squads (AI automation architects, prompt engineers, product managers).
- Deliver iteratively using agile OKRs, rapid POCs, and continual KPI evaluation.
Innovation & Partnerships
- Experiment with cutting-edge agent research and open-source Agentic RPA.
- Set standards for agent safety, ethical AI, and closed-loop feedback.
- Partner with Enterprise Data, IT Infrastructure, and Cybersecurity teams.
Qualifications
- 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.
- 8+ years implementing scalable AI/ML on Databricks or Dataiku with strong AI/MLOps.
- Deep knowledge of cloud platforms (AWS/Azure/GCP) and compliance (GxP, HIPAA, GDPR).
- Strong ML/AI theoretical foundation; exceptional written/verbal communication.
Leadership/Autonomy
- Lead multi-disciplinary squads; influence enterprise-wide AI & automation strategy with significant autonomy.
Benefits (explicitly stated)
- Base salary range: $255,600–$312,000 per year; equity; flexible paid time off; medical, dental, vision, life/disability insurance; 401(k); supplemental life and legal services; Employee Assistance Program.
Application Instructions
- Apply via the Madrigal Careers site (applications accepted on an ongoing basis).