Lead AI Engineer — Enterprise AI & Agentic Solutions

Singtel

Singapore

On-site

Confidential

Full time

9 days ago

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Job summary

Singtel seeks a Lead AI Engineer to own the design and delivery of AI and Agentic AI solutions across the organisation. You will guide a team of AI and software engineers, providing hands-on technical direction and ensuring secure, scalable production-ready systems.

You’ll translate business requirements into actionable tasks, drive end-to-end development, and align with enterprise architecture, security controls, and platform standards.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, AI or related field.
  • 7+ years of hands-on experience delivering full stack software and AI solutions.
  • Strong proficiency in Python, TypeScript/NodeJS and SQL.
  • Experience designing and leading LLM-based and agentic AI systems.

Responsibilities

  • Lead end-to-end technical design of AI and Agentic AI solutions aligned with architecture and security.
  • Translate requirements into detailed technical specs, tasks and implementation plans.
  • Oversee full development lifecycle for AI, software and automation workflows; provide hands-on guidance.
  • Provide technical leadership across backend, frontend, API integration, LLM orchestration and middleware.
  • Review designs and enforce engineering standards, code quality and performance.

Skills

Python
TypeScript/NodeJS
SQL
LLM orchestration
LangChain
API design
Security patterns
Cloud deployments
MLOps/DevSecOps
Leadership/mentorship

Education

Bachelor's in CS/Engineering or related

Tools

LangChain
LangGraph
REST APIs
gRPC
OAuth2/JWT/SSO

Job description

Singtel seeks a Lead AI Engineer to own the design and delivery of AI and Agentic AI solutions across the organisation. You will guide a team of AI and software engineers, providing hands-on technical direction and ensuring secure, scalable production-ready systems.

You’ll translate business requirements into actionable tasks, drive end-to-end development, and align with enterprise architecture, security controls, and platform standards.

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