AI-Native Engineering Lead & Architect

TechTree

Kuala Lumpur

Hybrid

MYR 180,000 - 300,000

Full time

45 hours ago
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Benefits offered by this job

Hybrid work model

Job summary

TechTree is seeking a hands-on technical leader for a global insurance client undergoing an AI-native engineering transformation. You will shape complex solutions, guide architecture, and act as a multiplier across delivery teams, owning technical direction in a major domain.

You will work inside delivery teams on legacy modernization, integration and data-intensive products, mentoring engineers, collaborating with product and business stakeholders, and driving AI-enabled practices and modern

Qualifications

  • Proven track record of delivering complex enterprise systems.
  • Hands-on delivery experience with AI-assisted software development.
  • Ability to translate business needs into technical solutions.
  • Experience leading architecture discussions.
  • Coaching and mentoring others.

Responsibilities

  • Lead the technical design and evolution of complex, enterprise apps.
  • Design scalable architectures grounded in practical engineering.
  • Review legacy architectures and modernise integrations.
  • Translate business requirements into technology solutions.
  • Guide decisions on APIs, distributed systems, cloud infra.
  • Introduce AI-native engineering practices within teams.
  • Mentor developers and lead architecture reviews.
  • Collaborate with product, engineering managers and stakeholders.

Skills

Technical leadership
Software architecture
AI-enabled development
Mentoring
Communication
Cloud infrastructure
APIs & integration

Job description

TechTree is seeking a hands-on technical leader for a global insurance client undergoing an AI-native engineering transformation. You will shape complex solutions, guide architecture, and act as a multiplier across delivery teams, owning technical direction in a major domain.

You will work inside delivery teams on legacy modernization, integration and data-intensive products, mentoring engineers, collaborating with product and business stakeholders, and driving AI-enabled practices and modern

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