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10 часов назад

AI Engineer (Hybrid)

72 000 - 134 000$
Формат работы
hybrid
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 Engineer (Hybrid) (AI platforms and MLOps): Building and advancing enterprise AI platforms, tools, architectures, and reusable solution patterns with an accent on cloud engineering, model lifecycle tooling, vector databases, orchestration, and RAG frameworks. Focus on evaluating emerging AI technologies, guiding proof-of-concepts, designing secure and scalable platforms, and establishing responsible AI standards.

Location: Saint Paul, Minnesota campus; hybrid arrangement with a minimum of 3 days per week in the office. Associates within a 90-minute commutable distance are expected to work from the office three days each week.

Estimated base pay: $72,000–$134,000 per year.

Company

hirify.global is a financial services organization with an Enterprise Data and Analytics team focused on applying data, analytics, and AI at scale.

What you will do

  • Champion the selection, evaluation, and lifecycle management of enterprise AI platforms, frameworks, and tools.
  • Advise delivery teams on AI platform architecture, including model lifecycle tooling, containerization, orchestration, vector databases, prompt management, RAG frameworks, and model hosting.
  • Run experiments and proof-of-concept initiatives for emerging AI services, foundation models, and developer tooling.
  • Guide teams in reusing approved enterprise AI patterns and develop scalable reference architectures and standards.
  • Partner with Enterprise Technology and platform teams to improve security, compliance, cost efficiency, resilience, and developer experience.
  • Support platform safeguards, governance controls, and guidelines for responsible and adaptable AI use.

Requirements

  • Strong technical experience across AI, ML, and cloud platform engineering.
  • Hands-on experience with cloud environments, with AWS strongly preferred.
  • Experience deploying, integrating, or supporting production AI/ML systems, including MLOps pipelines, model hosting, and monitoring.
  • Understanding of modern AI stacks, including APIs, foundation models, vector databases, orchestration tools, and RAG patterns.
  • Experience with enterprise architecture, platform engineering, or MLOps functions.
  • Ability to collaborate with technical and non-technical stakeholders and communicate complex technical concepts clearly.

Nice to have

  • Background in financial services or another regulated industry.
  • Familiarity with AI security, governance, and responsible AI considerations.

Culture & Benefits

  • Hybrid work combining virtual work with regular in-office collaboration.
  • Paid time off, flexible leave programs, and nine company-paid holidays.
  • Company-funded pension plan and 401(k) contributions of up to 10% of eligible earnings, with a 5% target.
  • Medical, dental, and vision coverage for associates and eligible family members from the first day of employment.
  • Paid volunteer time, matching gifts, and associate resource groups.

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