Remote Principal AI Platform Architect

RYZ Labs

Argentina

Presencial

ARS 176.967.658 - 265.451.488

Jornada completa

14 días+

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Descripción de la vacante

RYZ Labs is seeking a Principal AI Engineer to drive the technical evolution of AI/ML across its client portfolio. You will own AI productization, governance, and platform architecture while mentoring engineering teams in a hands-on role.

You’ll lead multi-tenant AI services, establish AI risk controls, and define scalable deployment patterns using IaC, Docker, and CI/CD. Strong English communication and leadership are essential for success.

Formación

  • 15+ years in software engineering, data science, or related field.
  • Bachelor’s degree or higher in CS or engineering.
  • Deep Python AI/ML expertise; deploy models to public cloud.
  • Experience designing multi-tenant AI services and microservices.
  • Hands-on Docker, Terraform, CI/CD in production.
  • AI security/governance: risks, controls, data.
  • Excellent written and spoken English.
  • Mentor engineers and promote best practices.

Responsabilidades

  • AI productization and platform governance playbook ownership.
  • Build internal tooling for AI scaffolding, monitoring, data infra.
  • Define AI governance policies and SOC2/ISO-aligned controls.
  • Define deployment patterns using containerization and IaC.
  • Champion TDD and modern software engineering standards.
  • Mentor engineers, improve design quality and production rigor.
  • Act as technical authority on AI/ML and platform architecture.

Conocimientos

15+ years experience
English communication
AI governance
Platform architecture
Mentorship
DevOps

Educación

Bachelor’s degree or higher in CS/Engineering

Herramientas

Docker
Terraform
CI/CD

Descripción del empleo

RYZ Labs is seeking a Principal AI Engineer to drive the technical evolution of AI/ML across its client portfolio. You will own AI productization, governance, and platform architecture while mentoring engineering teams in a hands-on role.

You’ll lead multi-tenant AI services, establish AI risk controls, and define scalable deployment patterns using IaC, Docker, and CI/CD. Strong English communication and leadership are essential for success.

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