Lead Data & AI Solutions Architect

eFinancialCareers Ltd.

Singapore

On-site

SGD 210,000 - 270,000

Full time

4 days ago
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Job summary

eFinancialCareers Ltd. seeks a senior Solution Architect – Data & AI to lead end-to-end architecture across presales and delivery in Singapore.

You will design modern data platforms, AI architectures, and governance frameworks, guiding proposals through delivery governance and implementation assurance. The role requires deep technical expertise in cloud, data lakes/warehouses, GenAI, MLOps and strong client-facing communication to translate complex requirements into practical, commercially

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, AI, Software Engineering or a related field.
  • 15+ years of technology experience with strong solution/delivery architecture background.
  • Proven experience leading presales solutioning and delivery for enterprise Data & AI projects.

Responsibilities

  • Lead Data & AI solution architecture for RFPs, RFIs, tenders, proposals and client presentations.
  • Design enterprise Data & AI solutions across cloud, hybrid and on-premises environments.
  • Architect data platforms including data lakes, data warehouses, lakehouses and analytics platforms.
  • Define AI/ML and GenAI architectures, MLOps and lifecycle management approaches.
  • Ensure governance, security and compliance across data and AI landscapes.

Skills

Client-facing communication
Stakeholder management
Documentation
Presentation skills
Analytical thinking
Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, AI, Software Engineering

Tools

AWS
Azure
Google Cloud
Databricks
Snowflake
Microsoft Fabric
Synapse
BigQuery

Job description

eFinancialCareers Ltd. seeks a senior Solution Architect – Data & AI to lead end-to-end architecture across presales and delivery in Singapore.

You will design modern data platforms, AI architectures, and governance frameworks, guiding proposals through delivery governance and implementation assurance. The role requires deep technical expertise in cloud, data lakes/warehouses, GenAI, MLOps and strong client-facing communication to translate complex requirements into practical, commercially

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