2 дня назад
Solution Architect (AI/ML)
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/ML): Designing and delivering enterprise architectures and integrations for Domino’s AI/ML platform across multi-cloud, on-premises, hybrid, air-gapped, and regulated environments with an accent on Kubernetes, cloud infrastructure, security, and compliance. Focus on leading strategic F100 deployments, building ecosystem integrations, solving complex architecture challenges, and translating field requirements into product roadmap input.
Location: Remote US
Company
builds software for large AI-driven organizations to develop and operate data science and AI solutions at scale, combining model development, MLOps, collaboration, reuse, and reproducibility.
What you will do
- Lead technical execution for strategic F100 deployments across multi-cloud, on-premises, and hybrid environments.
- Design end-to-end reference architectures covering data, identity, security, and infrastructure in regulated environments.
- Build and document integrations with data platforms, model registries, and MLOps tools.
- Partner with account and sales engineering teams on scoping, custom demonstrations, and proofs of concept for customer AI use cases.
- Convert field experience into actionable product and engineering roadmap input.
Requirements
- 5+ years of hands-on production Kubernetes experience, including upgrades, migrations, multi-region disaster recovery, and cluster management at scale.
- Experience delivering end-to-end enterprise Kubernetes implementations in cloud or on-premises environments; OpenShift experience is valuable.
- Experience owning strategic customer relationships at CTO or platform-lead level.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
- Ability to translate security and compliance requirements into auditable architectures.
- Hands-on AI/ML or data platform experience, particularly in regulated environments, is valuable.
Culture & Benefits
- Remote work in the US.
- Startup-oriented environment within an established AI software company.
- Emphasis on diversity, inclusion, growth, truth-seeking, and continuous improvement.
- Teaching and learning environment with tools and support for professional success.
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