Principal Solutions 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
TL;DR
Principal Solutions Architect (AI & Deployment): Designing and scaling contextual data platforms for AI applications with an accent on Kubernetes-based deployments and professional services. Focus on executing end-to-end PoCs, optimizing distributed system performance, and bridging the gap between product engineering and customer success.
Location: Remote
Company
provides a Contextual Data Platform that integrates vector storage, graph databases, and search indices to make business data AI-ready for agents and applications.
What you will do
- Lead Kubernetes-based deployments across on-premises and cloud infrastructures.
- Guide customers through environment readiness, hardware sizing, networking, and configuration.
- Plan and execute end-to-end Proof-of-Concepts (PoCs), including scoping and technical validation.
- Conduct architecture reviews focused on scalability, reliability, and security.
- Troubleshoot installation and runtime issues across Kubernetes and distributed systems.
- Develop deployment guides, runbooks, and reference architectures.
Requirements
- 15+ years of experience building complex technical solutions.
- Hands-on experience deploying and operating software on Kubernetes (on-prem and cloud).
- Strong Linux fundamentals and experience with containerization technologies.
- Experience sizing and configuring environments for data-intensive distributed systems.
- Proven ability to run PoCs end-to-end and lead technical customer discussions.
- Expertise in troubleshooting performance and capacity issues in production environments.
Nice to have
- Experience with AI/ML workflows, RAG/GraphRAG, vector search, or agent-based architectures.
- Background in Professional Services or customer-facing engineering.
- Knowledge of distributed NoSQL or multi-model data platforms.
- Familiarity with enterprise security practices and licensing models.
Culture & Benefits
- Contribute to cutting-edge AI and data infrastructure development.
- Collaborate with a high-caliber team of engineers, marketers, and product leaders.
- Opportunity to help define the new category of the contextual data layer for AI.
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