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Solution Architect (AI)

Формат работы
onsite
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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Solution Architect (AI): Designing and deploying production-grade AI infrastructure and agent systems for enterprise customers with an accent on scalable cloud platforms, Kubernetes, and multi-agent application architecture. Focus on building highly available infrastructure, developing evaluation-driven agents with LangChain and LangGraph, and translating complex customer requirements into secure, reliable solutions.

Location: New York City, United States; on-site

Company

An AI technology company building open-source frameworks and a platform for developing, evaluating, deploying, and operating intelligent agents at scale.

What you will do

  • Design scalable, highly available infrastructure for enterprise AI platform deployments, including compute, storage, networking, security, and multi-region disaster recovery.
  • Build Infrastructure as Code and delivery workflows using Terraform, Helm, GitOps, and CI/CD pipelines.
  • Architect and develop multi-agent systems with LangChain, LangGraph, memory patterns, tool integrations, and robust error handling.
  • Design evaluation frameworks, optimize prompts through A/B testing, and guide agent deployment and operations.
  • Lead technical maturity assessments, understand enterprise requirements, and present architecture recommendations.
  • Partner with Engagement Managers, Product, and Engineering teams to guide customer implementations.

Requirements

  • 7+ years of experience in hands-on, customer-facing technical roles such as Solutions Architect or Forward Deployed Engineer.
  • 3+ years designing and deploying production infrastructure on GCP, AWS, or Azure, with strong Kubernetes experience including cluster design, autoscaling, and multi-zone deployments.
  • Experience with Terraform, Helm, GitOps, databases, high availability, disaster recovery, networking, security, observability, and CI/CD.
  • 1+ year building production AI/ML applications or agents using LangChain, LangGraph, or similar LLM frameworks.
  • Experience with evaluation frameworks, prompt optimization and A/B testing, vector stores, RAG, API design, and knowledge organization.
  • Strong Python and/or TypeScript development, enterprise customer engagement, technical assessment, communication, and problem-solving skills.

Culture & Benefits

  • Collaborative environment with a strong engineering culture and direct influence on product and technical best practices.
  • Base salary, variable compensation where relevant, equity, benefits, and additional perks.
  • Medical, dental, and vision coverage.
  • Flexible vacation and a 401(k) plan.
  • Meals provided on in-office days in the United States.

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