обновлено 3 месяца назад
Solution Architect (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solution Architect (AI) (AI infrastructure and agent systems): Designing, deploying, and optimizing production-grade AI infrastructure and reliable agent applications for enterprise customers with an accent on Kubernetes, cloud platforms, and multi-agent architectures. Focus on building highly available infrastructure, evaluation frameworks, secure enterprise integrations, and scalable LangChain/LangGraph systems.
Location: Remote from the Netherlands, based in Amsterdam, with up to 25% travel
Company
LangChain builds open-source frameworks and the LangSmith platform for building, evaluating, deploying, and operating AI agents at scale.
What you will do
- Design scalable, highly available infrastructure for AI platform deployments, including compute, storage, networking, security, and enterprise integrations.
- Develop Infrastructure as Code and platform practices using Terraform, Helm, GitOps, and CI/CD pipelines.
- Architect Kubernetes clusters, multi-region high-availability and disaster-recovery solutions, and reliable database deployments.
- Design and build multi-agent systems, agent logic, evaluation frameworks, prompt optimization workflows, and production operations.
- Lead technical maturity assessments and infrastructure audits for enterprise customers.
- Partner with customers, Engagement Managers, and Product and Engineering teams to define requirements and guide implementation.
Requirements
- 7+ years of experience in hands-on, technical, customer-facing 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, with strong experience using LangChain, LangGraph, or similar LLM frameworks.
- Experience with agent memory and state management, AI evaluation frameworks, prompt engineering and A/B testing, vector stores, RAG, tool integration, API design, and error handling.
- Strong Python and/or TypeScript development, enterprise customer communication, technical assessment, problem-solving, and cross-functional collaboration skills.
Culture & Benefits
- Collaborative environment with a strong engineering culture and direct impact on customer success and product best practices.
- Competitive base salary and variable compensation, meaningful equity, benefits, and perks.
- Locally competitive benefits for team members in the EU, UK, and APAC.
- Medical, dental, and vision coverage and flexible vacation.
- Additional benefits include a 401(k) plan and meals on in-office days in the US.
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