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7 дней назад

Associate Director, Forward Deployed GenAI (Life Sciences)

192 000 - 288 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Director, Forward Deployed GenAI (Life Sciences): Building and deploying GenAI applications, RAG pipelines, agentic workflows, and data integrations for biopharma and commercial Life Sciences teams with an accent on rapid prototyping, client collaboration, and production delivery. Focus on translating ambiguous business problems into working AI systems, mentoring junior forward-deployed engineers, and feeding reusable field solutions back into the product.

Location: New York, NY, United States

Salary: $192,000–$288,000 annually, plus an annual discretionary performance bonus.

Company

hirify.global combines life sciences expertise, human consulting, and a technology platform to support pharmaceutical, biotech, and medtech commercialization.

What you will do

  • Embed with biopharma and Life Sciences clients to identify unmet needs and translate business challenges into engineered solutions.
  • Rapidly prototype GenAI applications, RAG pipelines, agentic workflows, and data integrations using client data.
  • Own delivery from discovery and whiteboarding through production-ready code, demonstrations, feedback, and handoff to product.
  • Move between client engagements and product sprints as priorities change.
  • Document reusable patterns and feed field learnings and components back into the product.
  • Mentor and coach a group of 3–4 junior forward-deployed engineers through pairing, code reviews, onboarding, and technical guidance.

Requirements

  • 8–12 years of professional software engineering experience and a record of shipping production-quality systems.
  • Experience mentoring or leading small engineering teams, formally or informally.
  • Strong proficiency in Python and/or Node and React, plus fluency with Azure, AWS, or GCP cloud services.
  • Hands-on experience building or integrating GenAI systems, including LLMs, prompt engineering, RAG, agentic architectures, or multimodal pipelines.
  • Experience presenting to non-technical stakeholders and working effectively in client-facing environments.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to have

  • Experience in Life Sciences or Biotech, including familiarity with commercial models and stakeholder goals.

Culture & Benefits

  • Work in collaborative pods with a Solution Lead and domain subject-matter expert on every client engagement.
  • Follow a structured onboarding path covering product fluency, shadowing, and progressively leading engagements.
  • Contribute directly to team culture, practices, and the development of the forward-deployed engineering cohort.
  • Field-built solutions can become product features with an industry-wide impact.
  • Employment includes eligibility for an annual discretionary performance bonus.

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