Associate Director, Forward Deployed GenAI

Trinity Life SciencesNew York, NY
$220,000Hybrid

About The Position

As a Senior 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. 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. 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. But you will also do something most engineers don't: you'll bring others with you. As a senior FDE, you will mentor and coach a group of 3–4 engineers; helping them ramp up faster, navigate client complexity, and grow into the role. You don't manage from a distance, but lead by doing, and you make the people around you sharper.

Requirements

  • 8–12 years of professional software engineering experience, with a track record of shipping production-quality systems
  • Demonstrated experience mentoring or leading small engineering teams, formal or informal; what matters is that people grew under your watch
  • Strong proficiency in Python and/or Node.js/React.js; fluency with cloud services (Azure, AWS, or GCP)
  • Hands-on experience building or integrating GenAI systems: LLMs, prompt engineering, RAG, agentic architectures, or multi-modal pipelines
  • Real comfort operating in client-facing environments: you have presented to non-technical stakeholders and navigated their feedback without losing your footing
  • Experience in Life Sciences or Biotech strongly preferred: you understand the commercial model, can talk the language, and understand the goals of stakeholders in the industry
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Nice To Haves

  • You can hold a conversation with a Director of Commercial Operations in the morning, translate that into a deep technical conversation with a software architect in the afternoon, and debrief a junior FDE on what just happened over coffee on the way out.
  • 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 early, and share credit; you do not disappear into a solo cave for three weeks
  • Learn fast in unfamiliar domains: you have cracked new industries, new stacks, or new problem spaces quickly before, and you can do it again
  • Make others better: you have coached or mentored engineers before and have the patience, directness, and generosity to do it well; you understand that growing someone else is not a distraction from your job, it is a core contribution of the value you bring to our firm

Responsibilities

  • 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, feedback loop, and handoff to product
  • Flex between missions: move between active client engagements and product sprints as priorities shift
  • Make the model and our products better: document patterns, share playbooks with the cohort, and push field learnings back into the product, including reusable components
  • Mentor and coach a group of 3–4 junior FDEs: pairing on hard problems, reviewing their work, and giving them direct, useful feedback
  • Help new FDEs ramp up through the onboarding path: accelerate their time to product fluency and first live pod contribution
  • Serve as a technical sounding board when junior FDEs are stuck: not by solving for them, but by asking questions that guide them to the solution and help them grow
  • Model the culture: show what great client engagement, clean iteration, and knowledge-sharing look like in practice

Benefits

  • annual discretionary performance bonus
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