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4 дня назад

AI Architect (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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 Architect (LLM): Designing and architecting intelligent systems that transform complex information into structured knowledge with an accent on LLMs, generative AI, and machine learning. Focus on defining architectural patterns, technical standards, and integration approaches to enable scalable enterprise AI adoption and production-grade reliability.

Location: Must be based in Los Angeles, CA

Company

hirify.global (CAA) is a leading global entertainment and sports agency known for its culture of collaboration and innovation across media, sports, and technology.

What you will do

  • Define and evolve reference architectures for AI, machine learning, and generative AI systems.
  • Design and implement end-to-end AI workflows for complex data interpretation and reasoning.
  • Establish technical standards, patterns, and best practices for scalable and secure AI development.
  • Prototype, evaluate, and productionize generative AI solutions for real-world use cases.
  • Optimize systems for latency, cost, and throughput while ensuring output trustworthiness.
  • Partner with cross-functional teams to align data science initiatives with business priorities.

Requirements

  • 10+ years of experience building AI, Machine Learning, and NLP solutions.
  • 5+ years of experience building applied AI/LLM and generative systems in production environments.
  • Strong programming skills in Python and experience building data and AI pipelines.
  • Experience designing enterprise-scale AI and data architectures.
  • Strong software engineering fundamentals including APIs, system design, and testing.
  • Bachelor’s degree in Mathematics, Science, Engineering, or Computer Science.

Culture & Benefits

  • Work within a highly motivated technology team at a global industry leader.
  • Opportunity to shape the strategic use of data and AI across entertainment and sports sectors.
  • Collaborative environment focused on innovation and measurable business impact.
  • Commitment to equal employment opportunity and inclusive workplace practices.

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