AI Platform Engineer

Techconnect.id; Jakarta Pusat; On-site; IDR 800,000,000 - 1,100,000,000; Full time

Job summary

Techconnect.id is seeking an AI Platform Engineer to design, build, and maintain scalable AI infrastructure, data pipelines, and MLOps tooling across the enterprise. You will ensure reliability, security, and performance of AI workloads, implement CI/CD, containerization, and cloud infrastructure, and drive governance aligned with enterprise standards.

With 6–10 years total experience and 3–5+ years in AI platforms, you will lead end-to-end projects for production-scale AI use cases in large

Qualifications

• 6–10 years total experience in AI platform development and operations.
• 3–5+ years in AI platform / MLOps within large-scale environments.
• Bachelor’s degree in Computer Science, Engineering, or Data.
• Cloud or DevOps certifications (AWS/Azure/GCP) preferred.
• Led end-to-end AI platform builds (data pipelines, ML deployment, CI/CD, monitoring).
• Experience in large enterprises, tech companies, or consulting with multi-business exposure.
• Delivery of production-scale AI use cases with high data volumes.

Responsibilities

• Design, build, and maintain scalable AI infrastructure and tooling.
• Develop end-to-end AI platforms including data pipelines and training environments.
• Implement CI/CD, containerization, monitoring, and governance aligned with enterprise standards.
• Accelerate AI adoption by providing production-ready environments and reusable components.
• Collaborate across teams to ensure reliability, security, and performance of AI workloads.

Skills

AI platform engineering

MLOps

CI/CD automation

Containerization

Cloud infrastructure

Monitoring systems

Education

Bachelor’s in Computer Science / Engineering / Data

Tools

AWS

Azure

GCP

Job description

• The AI Platform Engineer is responsible for designing, building, and maintaining the scalable infrastructure and tooling that enable efficient development, deployment, and monitoring of AI and machine learning solutions across the enterprise.
• This role develops and manages end-to-end AI platforms, including data pipelines, model training environments, MLOps frameworks, CI/CD automation, containerization, cloud infrastructure, and monitoring systems. It ensures reliability, scalability, security, and performance optimization of AI workloads while aligning with enterprise architecture and governance standards.
• Strategically, the AI Platform Engineer accelerates AI adoption by providing standardized, reusable, and production-ready environments that reduce time-to-market for AI initiatives. The role strengthens operational stability, model lifecycle governance, and cross-team collaboration—ensuring AI capabilities are sustainable, secure, and enterprise-grade
• Experience (YoE): 6–10 years total; 3–5+ years in AI platform / MLOps within large-scale environments
• Education: Bachelor’s in Computer Science / Engineering / Data; cloud or DevOps certifications (AWS/Azure/GCP) preferred
• Project Exposure: Led end-to-end AI platform builds (data pipelines, ML deployment, CI/CD, monitoring) with production-scale impact
• Company Coverage: Experience in large enterprises, tech companies, or consulting with multi-business / regional exposure
• Delivery Scope & Scale: Proven track record supporting multiple AI use cases, high data volumes, and enterprise-grade systems