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6 дней назад

AI Product Owner (AI)

111 960 - 136 840$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
AI Product Owner (AI): Guiding AI engineering teams in developing an agentic AI framework and production-ready AI products with an accent on technical leadership, Generative AI integrations, and scalable infrastructure. Focus on designing RAG-based AI agents, managing model reliability and performance, and mentoring engineers on agentic architectures.

Location: Boston and Hingham, Massachusetts; the role is intended for candidates local to the Boston, MA office.

Salary: $111,960–$136,840 per year, plus eligibility for variable pay.

Company

hirify.global is a healthcare organization developing AI initiatives and products to transform healthcare.

What you will do

  • Provide technical leadership and mentorship to AI engineering teams.
  • Lead the design and implementation of AI agent components, Generative AI integrations, and supporting infrastructure.
  • Collaborate with Product Owners to refine technical requirements, estimate effort, and deliver AI features.
  • Establish code review practices focused on quality, security, and maintainability.
  • Resolve complex technical issues and serve as the team's primary escalation point.
  • Evaluate new tools, libraries, and frameworks and support knowledge sharing.

Requirements

  • Bachelor's degree in Computer Science, Technology, or a related field; a high school degree or equivalent is the minimum education requirement unless otherwise noted.
  • 1–3+ years of hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • 1+ year of experience developing agentic solutions, including cloud services such as AWS, Azure, or Google Cloud and MLOps tools such as Docker and Kubernetes.
  • Experience designing and implementing complex AI agent components, including RAG architectures and fine-tuning techniques.
  • Experience managing the performance, scalability, and reliability of AI models in production.
  • Strong communication, code review, knowledge-sharing, and technology decision-making skills.

Nice to have

  • Linux/Unix scripting experience.
  • Experience with multiple cloud platforms, including AWS, GCP, and Azure.
  • Solution Architect Associate certification, preferably in GCP or AWS.

Culture & Benefits

  • Full-time employment with paid time off.
  • Medical, dental, and vision insurance.
  • 401(k) and additional well-being benefits for eligible employees.
  • Investment in employee development and career growth.
  • Focus on inclusion, wellness, and work-life balance.

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