Senior AI Platform Architect – Scalable, Secure ML

The Japan Research Institute, Limited (Singapore Branch); Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Sumitomo Mitsui Banking Corporation (SMBC) Singapore is seeking a Senior AI Platform Architect to design end-to-end AI platforms, spanning data ingestion to model deployment, monitoring, and governance.

You will translate business problems into scalable AI architectures, collaborate with data scientists, engineers, product managers and business stakeholders, and ensure performance, security and compliance across the AI stack.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI data science, AI or related field.
• 5+ years of software architecture, data engineering and AI/ML design experience.
• 7–10 years in related field with at least 5 years AI experience.
• Strong understanding of machine learning, deep learning and data engineering concepts.
• Experience with cloud platforms (Azure, AWS, GCP) and AI services.

Responsibilities

• Design end-to-end AI platform/solutions, from data ingestion to model deployment and monitoring.
• Translate business problems into scalable AI architecture and technical specifications.
• Collaborate with various stakeholders that include data scientists, engineers, product managers and business stakeholders in realizing AI technology.
• Ensure AI solutions meet performance, scalability and reliability requirements.
• Incorporate security, governance, and compliance into AI system design.
• Provide architecture, solution and project support related to AI realization.
• Establish and maintain the AI security guardrail baseline

Skills

AI/ML design

Cloud platforms

Python/Java/Scala

Data engineering

Security & governance

LLMs / Generative AI

Stakeholder collaboration

Education

Bachelor's or Master's in CS/AI

Tools

Azure

AWS

GCP

Python

Java

Scala

APIs

Microservices

Job description

Sumitomo Mitsui Banking Corporation (SMBC) Singapore is seeking a Senior AI Platform Architect to design end-to-end AI platforms, spanning data ingestion to model deployment, monitoring, and governance.

You will translate business problems into scalable AI architectures, collaborate with data scientists, engineers, product managers and business stakeholders, and ensure performance, security and compliance across the AI stack.