6 дней назад
AI Product Owner (AI)
111 960 - 136 840$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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