Remote AI Solutions Architect | Cloud-Native MLOps

Placements24; United States; A distancia; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Health, dental, vision insurance

Remote work stipend

Unlimited PTO

Professional development & conferences

Stock options & performance bonuses

Descripción de la vacante

Placements24 is recruiting an experienced AI Solutions Architect for a fully remote role. You will translate client requirements into scalable AI/ML architectures across cloud platforms, while guiding deployment, monitoring, and lifecycle processes.

You will collaborate with data scientists, engineers, and business stakeholders to design solutions that are secure, scalable, and cost-efficient. A strong focus on MLOps and modern AI tooling will drive architectural decisions and pre-sales support.

Formación

• Bachelor's or Master's in CS/Engineering or related field.
• 7+ years in software/solution architecture with AI/ML focus.
• Experience with cloud AI/ML services and MLOps pipelines.

Responsabilidades

• Design end-to-end AI/ML solutions on cloud platforms (AWS/Azure/GCP).
• Create technical blueprints and architecture diagrams for AI apps.
• Collaborate with data scientists, engineers, and stakeholders to gather requirements.
• Define MLOps strategies for deployment, monitoring, lifecycle management.
• Evaluate AI/ML tools and frameworks, guiding technology decisions.
• Provide technical leadership from concept to implementation.

Conocimientos

AI/ML architecture

Cloud platforms

MLOps

Architecture leadership

Remote collaboration

Educación

Bachelor's or Master's degree in CS/Engineering

Herramientas

Docker

Kubernetes

CI/CD tooling

Descripción del empleo

Placements24 is recruiting an experienced AI Solutions Architect for a fully remote role. You will translate client requirements into scalable AI/ML architectures across cloud platforms, while guiding deployment, monitoring, and lifecycle processes.

You will collaborate with data scientists, engineers, and business stakeholders to design solutions that are secure, scalable, and cost-efficient. A strong focus on MLOps and modern AI tooling will drive architectural decisions and pre-sales support.