Назад
Company hidden
9 дней назад

Sr. AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Sr. AI Engineer (Enterprise AI Platforms): Designing and operationalizing scalable enterprise AI platforms with an accent on MLOps/LLMOps, model lifecycle management, AI observability, and Responsible AI governance. Focus on defining architecture and technical guardrails, evaluating GenAI technologies, and guiding production-ready AI solutions across business, data, technology, and platform teams.

Location: Davie, Florida, US; on-site

Company

hirify.global delivers data, analytics, and AI engineering services.

What you will do

  • Lead the design and architecture of end-to-end enterprise AI platforms for scalability, reliability, and operational readiness.
  • Define frameworks for model lifecycle management, MLOps/LLMOps, AI observability, and production operationalization.
  • Establish Responsible AI principles, governance frameworks, compliance practices, and technical guardrails.
  • Drive platform-level technical decisions and translate AI strategy into production-ready solutions.
  • Evaluate emerging AI technologies and guide model, platform, framework, and architecture selection.
  • Collaborate with senior stakeholders to define the enterprise AI roadmap and platform strategy.

Requirements

  • At least 7 years of experience in data science and AI, including leadership in enterprise-scale AI platform design and operationalization.
  • Expertise in enterprise AI platform architecture, MLOps/LLMOps, model lifecycle management, and AI observability.
  • Deep understanding of Responsible AI, governance, compliance, GenAI architectures, LLMs, and AI orchestration.
  • Hands-on experience with cloud-based AI platforms including AWS, Azure, or GCP.
  • Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Bachelor’s degree in computer science, data science, statistics, mathematics, or a related discipline.

Nice to have

  • Experience establishing enterprise AI Centers of Excellence or platform teams.
  • Knowledge of vector databases, RAG, AI agents, and reusable AI architecture patterns.
  • Experience with business intelligence, reporting automation, and mentoring cross-functional AI teams.
  • Data science, advanced analytics, cloud architecture, or AI platform engineering certifications.

Culture & Benefits

  • Employee position within the AI and Data Engineering department.
  • Equal employment opportunity across legally protected characteristics.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →