Роль четко определена с акцентом на инфраструктуру ИИ и Kubernetes, а зарплата привлекательная, что делает это хорошей возможностью в растущей области.
Высокая зарплата
Современный стек технологий
?Стартап-среда
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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