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Open nowPosted today

Senior Technical Lead – AI & Digital Transformation

MyCareersFuture101,380 open roles

Pay
SGD 12,000 – SGD 15,000 a Monthly
Where
Singapore
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Your applicationOpen nowSenior Technical Lead – AI & Digital TransformationMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted today

MyCareersFuture median: 4 days open

The posting

About the Role

We are looking for an experienced Senior Technical Lead – AI & Digital Transformation to join our team in Singapore and support a global enterprise client on strategic digital and AI initiatives.

The role will lead technical architecture, engineering delivery and integration for enterprise-scale digital products and AI-enabled platforms.

You will work closely with Product Owners, Product Managers, Enterprise/Solution Architects, Data & AI teams and engineering squads across multiple regions.

The ideal candidate combines strong solution architecture and software engineering leadership with practical experience in cloud-native platforms, enterprise integration and emerging AI technologies. The source JD specifically calls for architecture ownership, engineering leadership, cloud-native design and AI platform integration. Senior Technical Lead - JD

Key Responsibilities

  • Own end-to-end technical architecture for assigned digital products and platforms.
  • Design scalable, secure and resilient cloud-native architectures.
  • Lead technical delivery from discovery and solution design through development, deployment and production.
  • Work closely with Product Managers and business stakeholders during roadmap planning and solution discovery.
  • Evaluate technical feasibility, risks, dependencies and implementation options.
  • Contribute to build-vs-buy and technology/platform selection decisions.
  • Design and guide implementation of:Distributed systemsMicroservices architectureAPI-first solutionsCloud-native applicationsWorkflow orchestration services
  • Collaborate with Data Scientists and AI Engineers to integrate Generative AI services and Agentic AI workflows.
  • Drive engineering standards around code quality, testing, CI/CD and DevSecOps.
  • Conduct architecture reviews and technical design sessions.
  • Support sprint planning and resolve complex technical and delivery challenges.
  • Ensure alignment with enterprise architecture, information security and data governance requirements.
  • Promote responsible adoption of AI across the software development lifecycle.

These responsibilities closely reflect the supplied role, including technical architecture ownership, engineering delivery, AI enablement, API-driven design, workflow orchestration and DevSecOps.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology or a related discipline.
  • 10+ years of experience in enterprise software engineering.
  • 5+ years in technical leadership, solution architecture or a similar senior technical role.
  • Proven experience delivering enterprise-scale digital platforms and products.
  • Strong experience with:Distributed systems architectureMicroservicesAPI-first designCloud-native developmentWorkflow orchestrationDevSecOps
  • Working knowledge of:Generative AILarge Language ModelsAgentic AI architecturesRetrieval-Augmented Generation (RAG)
  • Experience working within Agile product organisations.
  • Experience working with global and cross-functional teams.
  • Strong stakeholder-management and communication skills.
  • Ability to work effectively across business and technology teams.
  • Flexibility to collaborate across global time zones.
  • Willingness to undertake occasional international travel, including Europe and the US.

Engagement

This is intended to be a long-term engagement supporting a global enterprise transformation programme. The role is renewable and may also offer the potential for future conversion to a permanent position with the client, depending on business requirements, individual performance and mutual suitability.

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