Director of Artificial Intelligence
$295,000–$295,000 year
On-siteLong Island City, New York, United States
Job Summary
Define and execute Opentrons' AI roadmap in partnership with software, product management, and engineering leadership to advance AI-powered experiences across robotics and software. Lead development of reliable, scalable systems that translate natural language inputs into validated laboratory workflows, while establishing best practices for evaluation and trust in production environments. Build strategic relationships with academic institutions and industry partners to drive external innovation and support recruiting pipelines for top AI talent. Manage a small team of engineers and developers to build the AI and ML-based product portfolio, balancing near-term delivery with long-term research investments. Report to the VP of Engineering with an onsite location in Long Island City, NY.
Required Qualifications
- Proven professional experience in artificial intelligence, machine learning, or applied research and engineering environments
- Experience designing AI systems with a strong focus on reliability, validation, usability, and operational performance
- Proven track record of delivering AI-powered products from concept through production deployment and ongoing iteration
- Experience working across multidisciplinary organizations spanning software, hardware, and product development
- Strong expertise in generative AI, foundation models, and modern AI/ML infrastructure
- Deep familiarity with Python-based AI development ecosystems and production AI workflows
- Ability to define technical strategy and execute effectively in fast-moving, resource-constrained environments
- Strong communication and collaboration skills, including the ability to explain complex technical concepts to varied audiences
- Comfortable operating as both a strategic leader and hands-on technical contributor
- Must reside in a commutable distance to NYC
Desired Qualifications
- Experience within life sciences, laboratory automation, robotics, or scientific software platforms
- Experience collaborating with academic research institutions or contributing to published research
- Prior experience building AI-enabled developer tools, workflow systems, or no-code platforms
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