AI Architect – Singapore

Pan Asia Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced AI Architect to design and oversee complex AI and Machine Learning solutions. The role involves creating technical stacks, selecting cloud services like AWS and Azure, and defining MLOps strategies. The ideal candidate has a Master's or Ph.D. in Computer Science with 8+ years of experience, including 3+ years as an ML Architect. This position offers a chance to guide teams in implementing ethical and secure AI practices.

Qualifications

• 8+ years of experience in software development or data engineering, including 3+ years as an ML or AI Architect.
• Deep expertise in a major cloud AI platform and related services.
• Expertise in machine learning algorithms and model deployment.

Responsibilities

• Design the complete technical stack for AI solutions, including data acquisition and processing pipelines.
• Evaluate and select appropriate AI/ML frameworks and infrastructure components.
• Define MLOps practices for CI/CD, monitoring model drift, and ensuring reproducibility.
• Ensure AI systems adhere to security protocols and ethical AI guidelines.
• Guide and mentor Data Scientists and ML Engineers on architectural decisions.

Skills

Architectural design

MLOps practices

Data processing pipelines

Cloud services evaluation

Education

Master’s degree or Ph.D. in Computer Science or related field

Tools

AWS SageMaker

Azure ML

GCP Vertex AI

TensorFlow

PyTorch

Job description

The AI Architect designs and oversees the end-to-end architecture of complex Artificial Intelligence and Machine Learning solutions, bridging high-level business requirements with scalable, reliable, and secure AI systems.

Key Responsibilities

• Architectural Blueprint: Design the complete technical stack for AI solutions, including data acquisition, processing pipelines, model training environments, and deployment/inference services.
• Technology Evaluation: Evaluate and select appropriate AI/ML frameworks, cloud services (AWS SageMaker, Azure ML, GCP Vertex AI), and infrastructure components to meet performance needs.
• MLOps Strategy: Define MLOps practices, including continuous integration and continuous delivery (CI/CD) for models, monitoring model drift, and ensuring reproducibility.
• Security and Governance: Ensure all AI systems adhere to security protocols, data privacy regulations, and ethical AI guidelines.
• Team Leadership: Guide and mentor Data Scientists and ML Engineers on architectural decisions, performance tuning, and best coding practices.

Required Qualifications

• Master’s degree or Ph.D. in Computer Science, Data Science, or a related technical discipline (preferred).
• 8+ years of experience in software development or data engineering, with 3+ years specifically as an ML or AI Architect.
• Deep expertise in a major cloud AI platform (AWS, Azure, or GCP) and related services.
• Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model deployment methodologies.