Enterprise AI Platform Architect (Secure, Scalable ML)

Eames Consulting; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Eames Consulting, on behalf of a global financial institution, seeks a seasoned Solution Architect to lead the design and integration of an enterprise AI platform across the region.

You will bridge strategic business objectives with production‑ready AI deployments, ensuring architectures are secure, scalable, and governed.

Candidates should have 8+ years in software engineering and data architecture, cloud experience (AWS/Azure/GCP), and hands‑on Python/Java/Scala.

Qualifications

• 8+ years in software engineering, data architecture, and distributed systems.
• 5+ years designing production AI/ML solutions.
• Experience with secure SDLC, model monitoring, and regulatory standards.
• Bachelor’s or Master’s in CS/AI/Data Engineering or related field.

Responsibilities

• Architect end-to-end blueprint for an enterprise AI platform including data pipelines and deployment infra.
• Translate complex use cases into modular, scalable technical roadmaps and microservices.
• Collaborate with engineering, data science, and executives to deploy ML and generative AI solutions.
• Define governance, data privacy boundaries, and security guardrails for AI systems.
• Ensure architectures meet high-availability, scalability, and regulatory performance standards.

Skills

Cloud architecture

Microservices

API-first design

Python

Java

Scala

Data engineering

Regulatory compliance

Education

Bachelor's or Master’s in CS/AI/Data Engineering

Tools

AWS

Azure

GCP

Python

Java

Scala

Job description

Eames Consulting, on behalf of a global financial institution, seeks a seasoned Solution Architect to lead the design and integration of an enterprise AI platform across the region.

You will bridge strategic business objectives with production‑ready AI deployments, ensuring architectures are secure, scalable, and governed.

Candidates should have 8+ years in software engineering and data architecture, cloud experience (AWS/Azure/GCP), and hands‑on Python/Java/Scala.