engineering
Posted 1 weeks agoSr. Engineer, Forward Deployed GenAI
New York, United StatesOn-site
Requirements
- For example, within a week you might be turning a messy CRM export into a live sales rep-facing AI assistant that surfaces next-best-action recommendations.
- Experience in Life Sciences or Biotech strongly preferred : y ou understand the commercial model, can talk the language, and understand goals of stakeholders in the industry Bachelor's degree in Computer Science , Engineering, or a related field (or equivalent experience) What Makes This Unusual You will be part of a cohort, with direct input on how the team operates You will work in pods , never alone on a client ; there is always a Solution Lead and domain SME at a client with you You will have a
Benefits
- Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of
- A reasonable estimate of the current salary range is $128,000 - $192,000 .
- In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Contact
- For more information, visit Trinity at www.trinitylifesciences.com .
Additional details
- We're committed to bringing passion and customer focus to the business.
- The Role As a Forward-Deployed Engineer at Trinity Life Sciences, you are embedded directly inside biopharma and commercial Life Sciences teams : absorbing their hardest problems, then building working solutions fast.
- You'll move from ambiguous business challenge to running prototype in days, not quarters.
- You'll demo it, iterate live with clients , and make it better. Repeat.
- You will write real code, own real deployments, and be accountable for real outcomes.
- Or you might be building a RAG pipeline over 10 years of clinical trial data so a market access team can answer payer questions in seconds instead of days.
- What You'll Do Embed with clients at top biopharma and life sciences organizations — sit with their commercial, medical affairs, and data teams to surface unmet needs and translate them into engineered solutions Prototype at speed : stand up GenAI-powered applications, RAG pipelines, agentic workflows, and data integrations fast enough to make a client's jaw drop within two weeks of receiving their data Own delivery end-to-end : from the first whiteboard session through production-ready code, demo,
- Specifically, you: Thrive on pace : compressed timelines energize rather than exhaust you; you do your best work when the deadline is real Understand before you build : you invest the time to genuinely absorb what a client needs, not what they said they need, before you write a line of code Are not married to your own work : you iterate freely, kill your darlings without drama, and treat client feedback as signal rather than criticism Are collaborative by default : you pull in teammates, ask for help
- T his is not an afterthought You will be onboarded intentionally Your work has a direct feedback loop to our products.
- T he best things you build in the field become product features – meaning they will shape the industry.