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3 часа назад

Principal Agentic AI Platform Architect (AI)

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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TL;DR

Principal Agentic AI Platform Architect (AI): Designing and evolving scalable, secure agentic AI platforms with an accent on multi-agent orchestration, LLM integration, reliability, and observability. Focus on building production-grade distributed systems, defining API and data-flow standards, and solving complex challenges in agent routing, graceful degradation, and platform scalability.

Location: Fort Worth, Texas, United States; hybrid schedule with three onsite days and two virtual days per week.

Company

hirify.global provides information technology and workforce solutions through a large professional services organization operating across the United States and Canada.

What you will do

  • Design and evolve multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
  • Establish production patterns for agent reliability, observability, guardrails, and graceful degradation.
  • Lead technical design reviews and create architecture decision records.
  • Define API contracts, data-flow patterns, and integration standards across the AI platform.
  • Evaluate agentic AI frameworks including LangGraph, CrewAI, Semantic Kernel, and AutoGen.
  • Collaborate with and mentor ML and software engineers on scalable, secure, maintainable AI systems.

Requirements

  • 10+ years of software architecture experience, including at least 3 years designing AI/ML platform systems.
  • Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
  • Deep expertise in distributed systems, microservices, event-driven architecture, and REST/gRPC API design.
  • Strong Python proficiency plus experience with Java, Go, or TypeScript.
  • Production experience building and deploying agentic AI systems or LLM-powered applications at scale.
  • Experience with prompt engineering, tool-use patterns, RAG pipelines, and agent reliability or observability.

Nice to have

  • Experience with Kubernetes, cloud platforms, MLOps/LLMOps tooling, or vector databases.
  • Knowledge of knowledge graphs, airline or travel domains, and multi-agent evaluation frameworks.
  • TOGAF or a similar architecture certification.

Culture & Benefits

  • Contract engagement with a long-term opportunity.
  • Full-time consultants may receive medical, dental, and vision benefits.
  • 401(k) contributions, paid time off, sick leave, and other applicable benefits may be available.
  • Work combines regular onsite collaboration with virtual work.

Hiring process

  • Application information and interview responses may be reviewed with the assistance of AI tools.
  • Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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