Senior AI-Driven Delivery Architect

SP Group

Singapore

On-site

SGD 180,000 - 240,000

Full time

5 days ago
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Job summary

SP Group is seeking a Principal Engineer, AI‑Driven Software Delivery to shape how SP Digital Engineering builds, tests and delivers software in the AI era. This hands‑on technical leadership role focuses on improving developer productivity, software quality and delivery confidence through AI‑assisted engineering practices and automated quality controls.

The candidate will work across engineering, architecture, DevSecOps, cyber security, product and business teams to establish practical

Qualifications

  • Minimum 10 years of progressive experience in software engineering, platform engineering or technology delivery.
  • Proven experience defining and implementing engineering practices, delivery standards and reusable platforms at scale.
  • Experience using AI-assisted engineering tools, coding assistants and automated delivery in governed environments.
  • Experience in enterprise technology organisations or consulting is advantageous.

Responsibilities

  • Define and drive the AI‑driven software delivery strategy, roadmap and engineering standards across SP Digital Engineering.
  • Establish guardrails for secure, traceable and maintainable AI‑assisted delivery with appropriate reviews.
  • Develop playbooks, reference architectures and automation patterns for consistent adoption of AI practices.
  • Lead hands‑on architecture reviews, prototyping, coding, testing and troubleshooting.
  • Mentor engineers and lead cross‑functional initiatives with Engineering, Product, Architecture and Cyber Security.

Skills

Java
Python
C#
AI tooling
DevOps
Code quality
Distributed systems

Tools

GitHub
GitHub Actions
Jenkins
Azure DevOps
SonarQube

Job description

SP Group is seeking a Principal Engineer, AI‑Driven Software Delivery to shape how SP Digital Engineering builds, tests and delivers software in the AI era. This hands‑on technical leadership role focuses on improving developer productivity, software quality and delivery confidence through AI‑assisted engineering practices and automated quality controls.

The candidate will work across engineering, architecture, DevSecOps, cyber security, product and business teams to establish practical

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