Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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