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6 дней назад

Director, Agentic Lab (AI)

194 600 - 361 400$
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

Текст:
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TL;DR
Director, Agentic Lab (AI): Designing, prototyping, and validating next-generation AI agents and autonomous workflows with an accent on LLMs, agent frameworks, RAG, vector databases, and cloud-native development. Focus on evaluating emerging AI technologies, creating reusable reference implementations, and transitioning successful prototypes into enterprise-scale capabilities.

Location: East Hanover, United States; onsite at the East Hanover site with no remote option. Up to 20% domestic and/or international travel required. No relocation provided; only local candidates considered.

Salary: $194,600–$361,400 per year, plus performance-based cash incentive and potential annual equity awards.

Company

hirify.global is a pharmaceutical company developing medicines and enterprise capabilities, including AI-driven solutions.

What you will do

  • Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
  • Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling.
  • Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory.
  • Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes.
  • Define engineering practices for prompt engineering, reasoning, memory architectures, evaluation, observability, and AI-agent standards.
  • Mentor AI engineers and support experimentation, innovation, and continuous learning.

Requirements

  • Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline.
  • 7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience.
  • Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development.
  • Strong software engineering background with experience building production-grade AI applications.
  • Excellent communication and collaboration skills across research, engineering, and business teams.

Nice to have

  • Experience in pharmaceutical, healthcare, or other regulated industries.
  • Experience building enterprise agentic AI platforms and developer ecosystems.

Culture & Benefits

  • Full-time employment with a culture of experimentation, innovation, mentorship, and continuous learning.
  • US-based eligible employees receive health, life, and disability benefits.
  • 401(k) with company contribution and match.
  • Vacation, personal days, holidays, and other leaves.
  • Performance-based cash incentive and potential annual equity awards depending on role level.

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