Director, AI Platform & Agentic Engineering (AI)

Location: Cambridge, Massachusetts, United States; hybrid. The role is for US and Puerto Rico residents only; domestic/international relocation is listed as available. Travel requirements are 10%.

Salary: $194,100–$305,600 annually, plus potential annual bonus and long-term incentive.

Company

hirify.global develops medicines and scientific technologies, including AI/ML capabilities for target and biomarker discovery and genome sciences.

What you will do

• Build and evolve AI/ML research platforms, developer tooling, and reusable capabilities connecting scientists with data, knowledge, compute, and models.
• Enable foundation model training, fine-tuning, and evaluation, and develop agentic AI frameworks for tool integration, retrieval, orchestration, and human-in-the-loop workflows.
• Provide access to cloud, Databricks, GPU clusters, and other high-performance computing environments in partnership with IT and technology teams.
• Own the software development lifecycle for shared AI/ML tools and applications, including architecture, testing, CI/CD, reproducibility, security, and maintainability.
• Lead architecture, prototyping, and implementation while mentoring engineers and supporting scientists in translating AI approaches into scientific applications.

Requirements

• PhD in 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 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 using LangGraph, Semantic Kernel, AutoGen, or equivalent frameworks.
• Experience with RAG, vector databases, knowledge graphs, and agent orchestration.
• Strong communication skills and ability to collaborate across scientific, engineering, and technology teams.

Nice to have

• 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.
• Experience in life science or omics.

Culture & Benefits

• Regular employee position with medical, dental, vision, insurance, retirement benefits including 401(k), paid holidays, vacation, and compassionate and sick days.
• Hybrid work arrangement with 10% travel.
• Inclusive environment that values diverse perspectives, respectful challenge, and collective problem-solving.
• Visa sponsorship is available.