AI Operations & Middle Mile Change Lead

Shopee; Indonesia; On-site; IDR 180,000,000 - 290,000,000; Full time

Job summary

Shopee is seeking an AI Operations & Execution Specialist to lead the deployment and operational integration of our AI Roadmap. You will build and maintain a connected suite of multi-agent AI systems that enhance planning and execution across logistics operations.

Work with operations teams to define problems, measure impact, and drive adoption while maintaining traceability of AI decisions and establishing guardrails for automated recommendations.

Qualifications

• 1-5 years in operations analytics, logistics, supply chain, or data/product roles.
• Hands-on experience with dashboards and structured data (SQL and spreadsheets).
• Advanced SQL and Python able to review pipeline and model code.
• Hands-on experience with modern Agentic/LLM frameworks
• Exposure to ML or automation projects.

Responsibilities

• Lead the technical deployment and operational integration of the AI Roadmap.
• Build, wire, and maintain a connected suite of multi-agent AI systems.
• Deliver AI-driven improvements to daily operations planning and execution.
• Partner with operations teams to define problems, measure impact and drive adoption.
• Maintain traceability of AI-assisted decisions, including logs and rationale.
• Set and review guardrails and thresholds for automated recommendations.
• Communicate progress, risks and results to leadership and cross-functional partners.
• Contribute to roadmap planning and expansion of AI capabilities across the network.

Skills

SQL

Python

Dashboards

Data Pipelines

LLM frameworks

Education

Bachelor's or Master's degree in a quantitative field

Job description

Shopee is seeking an AI Operations & Execution Specialist to lead the deployment and operational integration of our AI Roadmap. You will build and maintain a connected suite of multi-agent AI systems that enhance planning and execution across logistics operations.

Work with operations teams to define problems, measure impact, and drive adoption while maintaining traceability of AI decisions and establishing guardrails for automated recommendations.