Director of Agentic AI & Automation Strategy

Madrigal; Conshohocken (Montgomery County); On-site; USD 256,000 - 312,000; Full time

Benefits offered by this job

Equity

Flexible paid time off

Comprehensive benefits

401(k) plan

Job summary

Madrigal Pharmaceuticals seeks a visionary Senior Director to lead the enterprise-wide deployment of agentic AI and automation. You will orchestrate autonomous digital agents across R&D, Commercial, Medical Affairs, and Corporate functions to boost efficiency while complying with biotech regulations.

You will design an AI/automation roadmap, establish an automation CoE, and partner with executives to prioritize high-value automations. Strong leadership and deep ML/AI expertise are essential.

Qualifications

• PhD or equivalent in AI/related field.
• 15+ years leading AI/automation initiatives; 10+ years hands-on with Python, SQL, R, MATLAB, PyTorch, Keras, Git.
• 12+ years architecting ML/DL solutions incl. LLMs and RAG pipelines.
• 8+ years building web apps (Dash/Streamlit/Shiny) and data products.
• 8+ years implementing scalable AI/ML on Databricks/Dataiku with strong MLOps.
• Deep cloud data platform knowledge (AWS/Azure/GCP) and compliance (GxP/HIPAA/GDPR).
• Strong theoretical foundation in ML/AI with publications/presentations.
• Exceptional written and verbal skills for executives.

Responsibilities

• Define and execute a multi-year agentic AI & RPA roadmap converging hyperautomation and LLM-driven workflows.
• Operationalize an Agentic Automation CoE governing standards, reusable assets, and ROI tracking.
• Partner with cross-functional executives to prioritise high-value automations.
• Champion MCP and agent-orchestration patterns for future-proof integration.
• Architect modular multi-agent systems powered by frontier LLMs and agent frameworks (LangChain, AutoGen, CrewAI).
• Design secure agent-to-agent communication with memory, credential vaults, RBAC.
• Implement enterprise MCP engine and Agent Protocol standards for human–agent–bot collaboration.
• Integrate 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 RPA tasks.
• Establish observability and governance (Arcade.dev, AgentOps, Langfuse).
• Develop testing harnesses and GxP-compliant validation for autonomous workflows.
• Mine process data to auto-generate backlogs and measure value.
• Lead a multidisciplinary team of AI automation architects and product managers; drive iterative delivery using OKRs, POCs, KPIs.
• Experiment with cutting-edge agent research and open-source tools.

Skills

Python

SQL

R

MATLAB

PyTorch

Keras

Git

LangChain

AutoGen

CrewAI

Education

PhD in AI/Data Science/CS/Engineering/Math

Tools

Databricks

Dataiku

Azure

AWS

GCP

SageMaker

Vertex AI

Job description

Madrigal Pharmaceuticals seeks a visionary Senior Director to lead the enterprise-wide deployment of agentic AI and automation. You will orchestrate autonomous digital agents across R&D, Commercial, Medical Affairs, and Corporate functions to boost efficiency while complying with biotech regulations.

You will design an AI/automation roadmap, establish an automation CoE, and partner with executives to prioritize high-value automations. Strong leadership and deep ML/AI expertise are essential.