AI Solutions 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 enterprise AI capabilities across the region.

We seek a seasoned Solution Architect to design and deploy a production-ready, secure AI platform, serving as the bridge between business goals and scalable AI deployment. The role requires 8+ years in software/data architectures, strong cloud proficiency, and hands-on experience with Python/Java/Scala and modern ML deployment patterns.

Qualifications

• 8+ years in software eng, data architecture, and distributed systems.
• 5+ years in production AI/ML solution design.
• Strong cloud and API-first design experience.

Responsibilities

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

Skills

Software engineering

Distributed systems

Production AI/ML

Cloud architectures (AWS/Azure/GCP)

Python/Java/Scala

Security governance

Education

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

Tools

AWS

Azure

GCP

Job description

We are partnered with an established global financial institution looking to expand their enterprise technology capabilities across the region.

They are seeking a seasoned Solution Architect spearhead the design and integration of their core enterprise AI platform. In this role, you will be the bridge between strategic business objectives and enterprise-grade AI deployment, ensuring architectures are production-ready, highly secure, and optimised for scale.

Key Responsibilities:

• Architect and lead the end-to-end blueprint for an enterprise level AI platform, covering data pipelines, deployment infrastructure, and live model lifecycle management.
• Convert complex institutional use cases into modular, scalable technical roadmaps and microservices architectures.
• Partner with cross-functional engineering teams, data science units, and executive stakeholders to drive the execution of modern machine learning and generative AI solutions.
• Define and enforce governance frameworks, data privacy boundaries, and enterprise security guardrails across all deployed AI systems.
• Ensure all deployed architectures adhere strictly to high-availability, scalability, and regulated platform performance standards.

Requirements:

• At least 8 years of experience in software engineering, data architecture, and distributed systems, with 5+ years dedicated specifically to production AI/ML solution design.
• Strong architectural proficiency across major cloud environments (AWS, Azure, or GCP) utilizing modern microservices and API-first designs.
• Hands-on familiarity with core programming environments (Python, Java, or Scala), data engineering frameworks, and generative AI/LLM deployment patterns.
• Deep knowledge of secure SDLC, model monitoring, and regulatory compliance standards within heavily governed domains (e.g., Banking, Financial Services, Healthcare).
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline.