
AI Engineer – Data Science Team Lead
Quantile Health
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $195,000 - $275,000 per year
Job Level
About the role
- Lead and deliver agentic LLM applications that drive business impactful business outcome
- Project manage AI initiatives end-to-end, ensuring high-quality, on-time delivery, while mentoring and developing a team of 3–4 data scientists
- Partner with founders to define and drive the product roadmap and technical direction
- Remain hands-on in research, model development, and building production-ready AI systems
- Work closely with the Engineering team to design system architecture, internal tools, and scalable data and model infrastructure
Requirements
- A strong conceptual thinker who turns complex, ambiguous business challenges into clear, structured data problems
- Passionate about LLMs and real-world AI applications, with a pragmatic, impact-driven mindset
- PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 3+ years of industry experience, OR Bachelor’s/Master’s degree with 7+ years of industry experience in finance, biotech, or tech startups
- 1+ year of team management experience
- Hands-on experience building AI applications, including prompt engineering, advanced analytics, and transforming large-scale unstructured data into production-ready solutions
Benefits
- Cash compensation range: $195,000 - $275,000
- Equity grants in Quantile Health
- Unlimited PTO
- Employee benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLM applicationsAI systemsmodel developmentprompt engineeringadvanced analyticsdata transformationproduction-ready solutionsdata sciencesystem architecturescalable data infrastructure
Soft Skills
conceptual thinkingproblem-solvingmentoringteam managementimpact-driven mindsetcommunicationcollaborationleadershiporganizational skillsstrategic thinking
Certifications
PhD in quantitative fieldBachelor’s degreeMaster’s degree