AI Platform Engineering Manager — Lead & Scale

Plata (Banco Plata); United States; A distancia; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Plata (Banco Plata) is seeking a senior engineering leader to drive the AI platform strategy and manage a cross-functional team. You will own end-to-end delivery, shaping architecture and technical decisions for the AI platform stack.

You will hire, mentor, and organize the team, turning product needs into reusable platform capabilities while ensuring reliability as adoption grows. Collaboration with Product, Data, and AI teams will be essential to drive platform adoption and impact.

Formación

• Proven experience leading engineering teams with hiring, planning, and delivery management.
• Background in AI/ML or data-driven engineering with hands-on model training.
• Ability to validate technical decisions and contribute technically.
• Experience taking AI-powered products from concept to production with measurable impact.

Responsabilidades

• Lead and grow the engineering team, including hiring, planning, task decomposition, and process improvements.
• Own development of internal AI platforms from concept to production and ensure reliability as adoption grows.
• Turn product needs into reusable platform capabilities and drive cross team collaboration.
• Shape architecture for scalable backend services, APIs, and integrations.
• Partner with Product, Data, and AI teams to understand needs and drive platform adoption.
• Make build vs adopt decisions and evaluate open source solutions when appropriate.

Conocimientos

Engineering leadership

AI/ML expertise

Platform engineering

Cross-functional collaboration

Descripción del empleo

Plata (Banco Plata) is seeking a senior engineering leader to drive the AI platform strategy and manage a cross-functional team. You will own end-to-end delivery, shaping architecture and technical decisions for the AI platform stack.

You will hire, mentor, and organize the team, turning product needs into reusable platform capabilities while ensuring reliability as adoption grows. Collaboration with Product, Data, and AI teams will be essential to drive platform adoption and impact.