Production AI Deployment Architect

Shopee; Indonesia; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Shopee in Indonesia seeks an experienced professional to lead and scale the deployment of AI-based applications across operational workflows within the Operations team. You will drive production-grade AI integrations across buyer journeys, order fulfillment, and logistics, ensuring reliability and safety.

The role requires deep full-stack capabilities, strong Linux deployment skills, and proficiency in Python, API integration, and cloud-based AI deployment, with CI/CD and monitoring experience.

Qualifications

• Bachelor's or Master's in CS/AI/SE or related field.
• 3+ years deploying and managing AI/ML apps in production.
• Must have full-stack dev skills and Linux deployment proficiency.
• Proficient in Python, API integration, and cloud-based AI deployment.
• Experience with CI/CD pipelines and model monitoring.

Responsibilities

• Scope and lead the deployment of AI-based applications across operational workflows.
• Manage end-to-end integration of AI models into production systems, ensuring reliability and scalability.
• Collaborate with cross-functional teams to identify and execute AI deployment opportunities.
• Monitor, maintain, and optimize deployed AI systems to ensure performance and safety standards.

Skills

Full-stack development

Linux proficiency

Python

API integration

Cloud AI deployment

CI/CD pipelines

Model monitoring

Education

Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field

Job description

Shopee in Indonesia seeks an experienced professional to lead and scale the deployment of AI-based applications across operational workflows within the Operations team. You will drive production-grade AI integrations across buyer journeys, order fulfillment, and logistics, ensuring reliability and safety.

The role requires deep full-stack capabilities, strong Linux deployment skills, and proficiency in Python, API integration, and cloud-based AI deployment, with CI/CD and monitoring experience.