Madrigal Pharmaceuticals · 2 weeks ago
Associate Director, Generative AI Engineer
Conshohocken, PA
Full-time
Onsite
Lead/Staff, Director/Executive
$191K/yr - $234K/yr
8+ years expMadrigal Pharmaceuticals is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH). The Associate Director, Generative AI Engineer will integrate advanced AI technologies to drive innovation within the pharmaceutical industry, leading the development and implementation of the Generative AI roadmap for enterprise support functions.
BiopharmaBiotechnologyMedical DevicePharmaceutical
Responsibilities
Develop and oversee the Generative AI roadmap in collaboration with senior leadership, ensuring alignment with organizational priorities
Identify critical business problems that can be solved using Generative AI
Define and implement strategies for leveraging Generative AI within the organization
Lead discussions in peer reviews and use quantitative skills to influence decision-making positively
Lead and manage a team of AI engineers, data scientists, and developers, providing mentorship, coaching, and career development support
Establish processes for hiring, onboarding, and performance management of AI talent
Ensure the appropriate level of LLM complexity for various use cases (e.g., Dolly vs. GPT-4)
Create technical standards and blueprints for Generative AI scenarios
Lead prompt engineering efforts to optimize LLM performance
Quickly prototype and test LLM scenarios to refine user experiences
Strong theoretical background and extensive experience in machine/deep learning, generative AI, and statistical modeling
Spearhead fine-tuning of LLMs and building RAG (Retrieval-Augmented Generation) systems
Develop and embed automated processes for predictive model validation, deployment, and implementation
Influence the AI/ML stack, including Feature Stores, Model Stores, and automated MLOps, to maximize the value of LLMs
Make impactful contributions to internal discussions on emerging machine learning methodologies
Work with cross-functional teams, including data scientists, data engineers, and research scientists, to deliver features iteratively
Lead internal and external developers to execute the Generative AI roadmap
Connect and collaborate with subject matter experts across different business areas
Educate technical and business leaders on the use of Generative AI
Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly cycle hypotheses through the discovery phase of projects
Report findings clearly and structurally through excellent written and communication skills
Stay updated with the latest advancements in Large Language Models (LLMs) and apply them to business scenarios
Qualification
Required
Advanced degree (Ph.D. preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or a related quantitative field
10+ years of proficiency in Python, SQL, R, MATLAB, PyTorch, Keras, and git
8+ years of experience in ML/deep learning, including hands-on experience with LLM fine-tuning and/or training (e.g., ChatGPT, BERT, Bard, LLaMA, Dolly)
8+ years of experience in data visualization and creating dashboards/web applications using Python and R-based tools (Dash, Streamlit, Shiny)
8+ years of experience in data manipulation, integration, writing complex queries, and creating data products
8+ years of implementing AI/ML systems using platforms like Databricks or Dataiku
2+ years of experience architecting modular multi-agent systems powered by frontier LLMs and leading agent frameworks (LangChain family, AutoGen, CrewAI, etc.), designing secure agent-to-agent (A2A) communication with shared memory, credential vaults, and RBAC, and implementing enterprise MCP tools and Agent Protocols
Strong understanding of cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud) and their application in building scalable and efficient analytics solutions
Proven ability to build and lead cross-functional teams, set clear priorities, and foster accountability and collaboration to drive organizational success. Skilled in leading teams through change, fostering adaptability, and cultivating a culture of continuous improvement and innovation
Proven experience in machine learning and software engineering best practices
Demonstrated ability in writing and presenting papers, documentation, and presentations to explain research findings
Benefits
Flexible paid time off
Medical
Dental
Vision and life/disability insurance
401(k) offerings (i.e., traditional, Roth, and employer match)
Supplemental life insurance
Legal services
Mental health benefits through our Employee Assistance Program for employees and their family
Company
Madrigal Pharmaceuticals
Madrigal Pharmaceuticals is a biopharmaceutical company developing therapeutics for the treatment of cardiovascular-metabolic diseases.
501-1000 employees
H1B Sponsorship
Madrigal Pharmaceuticals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$1.94BKey Investors
Blue OwlHercules Capital
2025-07-22Post Ipo Debt· $350M
2024-03-18Post Ipo Equity· $690M
2023-09-28Post Ipo Equity· $500M
Leadership Team
Mardi C. Dier
Chief Financial Officer
Carole Huntsman
Chief Commercial Officer (CCO)
Recent News
The Motley Fool
2026-01-07
2026-01-06
MarketScreener
2026-01-03
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