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aimlroles

【TW Life】Sub-Manager, AI Engineer

Chubb Open · verified Nov 1, 2026
Taiwan Manager AI Engineering

At a glance

Manager-level AI Engineering role at Chubb. Taiwan.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityManager
LocationTaiwan
PostedOct 28, 2026 · 4d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Shape the architecture, build, and rollout of enterprise AI and LLM applications and platforms
  • Carry AI projects from planning through delivery, balancing reliability, scale, technical quality, and business goals
  • Turn business opportunities into workable AI solutions with product, business, and engineering partners
  • Set engineering practices for code, testing, observability, documentation, and secure development
  • Coach engineers through complex design and delivery problems, while tracking priorities and risks

What you bring

  • At least three years in software development and machine learning, including two years in AI/LLM engineering or technical leadership
  • A track record of architecting and delivering production AI or LLM systems
  • Practical skills with Python, ML/LLM frameworks, cloud platforms, APIs, and MLOps

Who this fits

This role suits a hands-on technical leader who wants to guide architecture and delivery, with limited focus on administrative people management. You’ll work across business, product, and technical teams. Interview updates and invitations arrive by email, so check your inbox and spam folder regularly.

From the employer

Role Summary
Provide technical leadership for AI engineering initiatives, driving architecture direction, solution delivery, and cross-functional alignment for enterprise AI applications. This role remains development- and solution-oriented, with limited emphasis on administrative people management and stronger focus on technical leadership, execution quality, and business impact.

Key Responsibilities

  • Lead the design, development, and deployment of enterprise-scale AI/LLM applications and platforms.
  • Define technical direction and solution architecture for AI initiatives involving LLMs, RAG, MLOps, and enterprise integration.
  • Drive end-to-end delivery across multiple AI projects, ensuring technical quality, scalability, reliability, and alignment with business objectives.
  • Partner with business, product, and technical teams to shape AI opportunities into implementable solutions.
  • Provide technical leadership in architecture review, design decisions, implementation approach, and engineering standards.
  • Guide team members on complex technical issues, solution design, and delivery execution.
  • Oversee prioritization, technical planning, risk identification, and execution tracking across AI initiatives.
  • Promote strong software engineering discipline, including coding standards, testing, observability, documentation, and secure development practices.
  • Evaluate emerging AI technologies and recommend practical adoption strategies to enhance enterprise AI capability.
  • Support team capability building through coaching, technical mentoring, and knowledge sharing.
  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Statistics, or related fields; Master’s degree preferred.
  • 3+ years of experience in software development and machine learning, including 2+ years in AI/LLM engineering or technical leadership roles.
  • Proven experience leading the architecture and delivery of production-grade AI/LLM systems.
  • Strong hands-on knowledge of Python, ML/LLM frameworks, cloud platforms, APIs, and MLOps practices.
  • Deep understanding of distributed systems, AI solution architecture, enterprise integration, and secure SDLC practices.
  • Experience driving cross-functional solution delivery and influencing both business and technical stakeholders.
  • Strong technical judgment, execution focus, and solution-oriented leadership capability.

★ Recruitment Process Notice

• Please note that interview coordination for the next stage will be handled by our offshore Service Hub. All interview-related communications — including availability confirmation and interview invitations — will be conducted via email only.

• As phone contact is not available at this stage, kindly check your email regularly (including spam or junk folders) to avoid missing important updates.

★ Learn more about Chubb Life Taiwan's culture and workplace
• [開箱影片] 走進我們的辦公室,認識工作環境、福利與文化
• [Podcast] 探索我們如何打造支持成長與創新的職場

Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.