Senior Enterprise AI Platform Architect

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. partners with a global financial institution to expand their enterprise AI capabilities across the region.

The Solution Architect will design and integrate the core AI platform, ensuring production-ready, secure, and scalable architectures aligned with strategic objectives. You will translate institutional use cases into modular roadmaps, collaborate with engineering, data science, and executives, and enforce governance, privacy, and regulatory

Qualifications

• 8+ years in software engineering, data architecture, and distributed systems.
• 5+ years in production AI/ML solution design.
• Deep knowledge of secure SDLC and model monitoring.
• Experience with regulated domains (Banking/Financial Services/Healthcare).

Responsibilities

• Architect end-to-end blueprint for an enterprise AI platform, covering data pipelines and deployment infrastructure.
• Translate complex use cases into modular roadmaps and microservices architectures.
• Partner with cross-functional teams to drive ML and generative AI solutions.
• Define governance, data privacy boundaries, and security guardrails.
• Ensure architectures meet high-availability, scalability, and regulatory standards.

Skills

AI/ML design

Cloud architectures

Microservices

Python/Java/Scala

Security by design

Regulatory compliance

Data engineering

Stakeholder collaboration

Education

Bachelor's or Master's in CS/AI/Data Eng

Tools

AWS

Azure

GCP

Job description

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. partners with a global financial institution to expand their enterprise AI capabilities across the region.

The Solution Architect will design and integrate the core AI platform, ensuring production-ready, secure, and scalable architectures aligned with strategic objectives. You will translate institutional use cases into modular roadmaps, collaborate with engineering, data science, and executives, and enforce governance, privacy, and regulatory