Lead AI Solution Architect: Enterprise Platform & Value

Singapore Telecommunications Limited; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Singtel is seeking a Lead AI Solution Architect to define end-to-end architectures for AI initiatives and to lead multidisciplinary squads spanning AI, software, front-end, and data engineers. You will ensure scalable, secure AI solutions and drive adoption of reusable patterns across the organisation.

You will align with enterprise architecture and governance standards, mentor architects, and bridge business stakeholders with engineering teams to deliver measurable business value across hybrid

Qualifications

• Bachelor's or Master's in CS/Engineering/Data/AI/ML required.
• 5–10 years in solution architecture or technical leadership with a focus on AI platform integration.
• Experience designing and approving end-to-end AI workflows including data pipelines, model orchestration and APIs across hybrid clouds.
• Proven experience leading software and AI delivery teams.
• Strong background in cloud-native architectures, API ecosystems and MLOps.

Responsibilities

• Define end-to-end AI solution architectures aligned with enterprise standards.
• Lead multidisciplinary squads of AI, software, frontend, and data engineers.
• Govern architectural quality and promote reusable design patterns and best practices.
• Bridge business stakeholders and engineering teams to translate requirements into actionable designs.
• Evaluate new AI technologies and approaches for Value Pool use cases, balancing innovation and operational sustainability.

Skills

Solution architecture

Technical leadership

AI platform integration

API ecosystems

Cloud-native architectures

MLOps

Education

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

Tools

LangChain

LangGraph

GraphRAG

Retrieval-Augmented Generation

MLflow

Kubeflow

Airflow

CI/CD pipelines

Job description

Singtel is seeking a Lead AI Solution Architect to define end-to-end architectures for AI initiatives and to lead multidisciplinary squads spanning AI, software, front-end, and data engineers. You will ensure scalable, secure AI solutions and drive adoption of reusable patterns across the organisation.

You will align with enterprise architecture and governance standards, mentor architects, and bridge business stakeholders with engineering teams to deliver measurable business value across hybrid