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16 часов назад

Principal AI Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal AI Architect (AI): Architecting, designing, and evolving a scalable and secure AI platform and reference architecture with an accent on strategic decision-making across model selection, fine-tuning, RAG, and agent frameworks. Focus on evaluating and integrating LLMs, vector databases, and MLOps platforms, and providing architectural direction for Agentic AI systems.

Location: Austin, Texas. Applicants must be authorized to work in the U.S. without current or future sponsorship.

Company

hirify.global is building an advanced technology strategy by solving real business problems with cutting-edge AI technology.

What you will do

  • Architect, design, and evolve a scalable and secure AI platform and reference architecture.
  • Drive strategic decision-making across model selection, RAG, agent frameworks, and data pipelines.
  • Evaluate and integrate open-source and commercial LLMs, vector databases, and MLOps platforms.
  • Lead and influence engineering teams, fostering innovation and architectural excellence.
  • Provide architectural direction for building Agentic AI systems, including workflow orchestration and multi-agent collaboration.
  • Define and enforce target state and reference architectures, principles, and standards for AI/ML, aligning with industry best practices and ethical frameworks.

Requirements

  • 8+ years of experience as a senior, lead, or principal engineer or architect with hands-on experience in AI and ML systems.
  • Strong proficiency in programming languages like Python, Java, TypeScript, or Node.js, with expert-level Python and experience with frameworks like LangGraph, LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
  • Extensive experience with AI/ML technologies including LLMs, embeddings, vector databases, RAG architectures, and model serving frameworks.
  • Hands-on experience with Agentic AI patterns (autonomous agents, tool use, multi-agent coordination).
  • Strong background in cloud architectures (AWS, Azure, or GCP), containerization, serverless technologies, and distributed systems.
  • Demonstrated ability to lead large-scale architectural initiatives and influence cross-functional technical decisions.
  • Applicants must be authorized to work in the U.S. without current or future sponsorship.

Culture & Benefits

  • Opportunity to work with cutting-edge technology.
  • Solve real business problems and develop advanced technology strategy.
  • Foster a culture of innovation and architectural excellence.
  • Equal opportunity workplace.
  • Comply with global sanctions and export control laws.

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