Director, AI Platform & Agentic Engineering, AI & Genome Sciences
About The Position
AI/ML is central to the mission of accelerating target and biomarker discovery through a deeper understanding of disease biology. The Director, AI Platform & Agentic Engineering will build and lead technical capabilities that enable scientists to rapidly develop, evaluate, and apply cutting-edge AI/ML methods. The role works across genome-scale perturbation data, proprietary foundation models, large-scale biological datasets, and experimental partnerships that enable model predictions to be tested in the lab. This hands-on technical leadership role spans software and data engineering, scientific computing, foundation models, and agentic AI. The Director will build an agile research platform connecting multimodal data, knowledge graphs, scalable compute, and reusable AI tools to accelerate experimentation, reproducible research, and scientific discovery.
Requirements
- PhD in a relevant field such as Computer Science, Electrical Engineering, Data Science, Physics, Informatics, AI/ML, Mathematics, or a related STEM discipline, with 6+ years of industry experience; or a Master's degree with 10+ years of industry experience.
- Experience building AI/ML infrastructure, scientific software, or high-performance computing environments.
- Experience with cloud and computing technologies such as AWS, Databricks, Spark, Docker, Kubernetes, GitHub, and CI/CD.
- Strong software engineering expertise, particularly in Python, AI/ML frameworks, and modern software architecture.
- Experience developing GenAI and agentic AI systems, including frameworks such as LangGraph, Semantic Kernel, AutoGen, or equivalent.
- Experience with RAG, vector databases, knowledge graphs, and agent orchestration.
- Strong communication skills and ability to work effectively across scientific, engineering, and technology teams.
Nice To Haves
- Advanced degree in Computer Science, Engineering, Machine Learning, Physics, or a related quantitative field, with significant industry experience.
- Hands-on experience with foundation model training, fine-tuning, and evaluation.
- Experience developing computational capabilities for biological or biomedical research.
- Experience creating internal scientific platforms, developer tools, or open-source software.
- Life Science experience.
- Omics experience.
Responsibilities
- Build and evolve the AI/ML research environment, developer tooling, and reusable capabilities that connect scientists with data, knowledge, compute, and models.
- Enable foundation model training, fine-tuning, and evaluation, and develop frameworks for AI agents, tool integration, retrieval, orchestration, and human-in-the-loop scientific workflows.
- Partner with IT and technology teams to provide flexible access to cloud, Databricks, GPU clusters, and other high-performance computing environments for AI research.
- Own the SDLC for shared AI/ML tools and applications, establishing pragmatic standards for software architecture, testing, CI/CD, reproducibility, security, and maintainability.
- Remain actively engaged in architecture, prototyping, and implementation.
- Mentor engineers and support scientists in rapidly translating new AI approaches into scientific applications.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Other insurance benefits for employees and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate days
- Sick days
- Annual bonus eligibility
- Long-term incentive eligibility, if applicable
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
