Director, AI Engineering & Software Development

REERACOEN SINGAPORE PTE. LTD.; Singapore; On-site; SGD 260,000 - 380,000; Full time

Benefits offered by this job

Variable Bonus

Annual Leave 14 days (max 21)

Medical Leave

Dental Benefits

Job summary

REERACOEN SINGAPORE PTE. LTD.

in East Singapore seeks a Director of AI Engineering & Software Development to lead AI-enabled software development and governance across regional squads, driving innovation and scalable product delivery. The role reports to the CIO and requires hands-on leadership of cross-functional teams, adopting SDD, CI/CD, and advanced AI tooling to ensure high-quality solutions across markets.

Qualifications

• Hands-on leadership of software development and AI-enabled practices.
• Experience leading cross-regional engineering teams.
• Strong experience with Git workflows and CI/CD.
• Familiarity with Specification-Driven Development (SDD) and automated QA.
• Experience with LLMs, AI coding tools, or Agentic AI technologies.

Responsibilities

• Continuous Innovation & Technology Development across AI-enabled pipelines and tools.
• Strategic Leadership & Regional Team Management for distributed squads.
• Process Optimisation & Git Workflow Governance aligning with enterprise Git workflows.
• Governance, Security & Guardrails for AI agent autonomy and risk management.
• Process & Tool Innovation with internal platform teams for AI agents and monitoring.

Skills

AI-assisted development

Cross-regional leadership

Git workflows

CI/CD practices

Specification-Driven Development

Quality assurance

LLMs experience

Agentic AI tools

Education

Degree or Diploma in CS/SE/IT

Job description

Director, AI Engineering & Software Development (37794)

Location: East

Our client designs, develops, and supplies hardware, software, and integrated solutions for applications in payment, self-service operations, and environmental management. They are currently seeking an experienced Director, AI Engineering & Software Development to lead the development and operational adoption of AI-enabled software engineering practices, drive continuous innovation, and oversee the delivery of scalable, high-quality products and services across regional engineering teams.

Report line: CIO

Responsibilities

1. Continuous Innovation & Technology Development

• Establish mechanisms for continuous improvement by regularly evaluating advancements in frontier AI models, open-source libraries, AI-assisted development tools, and advanced coding frameworks.
• Serve as the squad's technology leader by monitoring developments across the global software engineering community and rapidly evaluating, adapting, and implementing relevant industry practices within active delivery pipelines.
• Design and optimise operational workflows that enable multiple independent AI-assisted development streams to operate efficiently within a single squad while minimising delivery friction and integration bottlenecks.

2. Strategic Leadership & Regional Team Management

• Lead, mentor, and develop a regional engineering and product delivery team, fostering effective collaboration across geographically distributed teams.
• Drive the adoption of AI-assisted software development practices, including continuous tool experimentation, prompt refinement, and automated system orchestration.
• Foster a collaborative and inclusive working environment that integrates diverse perspectives and supports delivery efficiency and alignment with product objectives.

3. Process Optimisation & Git Workflow Governance

• Drive the adoption and continuous enhancement of Specification-Driven Development (SDD), ensuring machine-readable specifications, including API schemas and custom Agent Manifests, support consistent and reliable autonomous execution.
• Establish and enhance multi-agent code merging and validation processes integrated with enterprise Git workflows, including branching strategies, automated pull-request reviews, code conflict resolution, and semantic versioning.
• Ensure parallel AI-assisted development streams are effectively integrated into core deployment pipelines while maintaining code quality, structural integrity, and release standards.

4. Governance, Security & Guardrails

• Design and continuously improve enterprise-grade governance frameworks for managing AI agent autonomy, establishing appropriate controls for automated code generation, refactoring, and self-healing systems.
• Establish risk mitigation protocols, cost monitoring mechanisms, and quality gates to support scalable AI-assisted development while minimising quality issues and unintended system behaviour.
• Define and standardise Human-in-the-Loop (HITL) approval protocols, determining appropriate points for human intervention and levels of permitted AI agent autonomy.

5. Process & Tool Innovation

• Collaborate with internal platform teams to develop and integrate specialised tools that enhance the capabilities of AI agents, including Knowledge Agents for support, Automated Root Cause Analysis (RCA) agents, and proactive synthetic monitoring agents.
• Analyse delivery data and squad performance metrics to identify opportunities for platform and process optimisation, incorporating insights from historical performance data and sprint retrospectives.
• Provide accountability to the CIO for the quality, scalability, and timely delivery of products and services developed by the Agentic Squads.

What You Will Receive

• Variable Bonus (dependent on performance)
• Annual Leave: 14 days, with a maximum entitlement of 21 days
• Medical Leave
• Outpatient Medical and Dental Benefits

Requirements & Preferences

• Minimum 8 years of experience leading software development, engineering, or product delivery teams.
• Demonstrated hands-on experience with AI-assisted or agentic software development workflows.
• Proven experience managing cross-regional and culturally diverse engineering teams and working effectively across geographically distributed environments.
• Strong experience with Git workflows, branching strategies, trunk-based development, and CI/CD practices.
• Demonstrated experience with Specification-Driven Development (SDD) and automated quality assurance processes.
• Strong ability to lead engineering teams through rapid technological change and drive the adoption of emerging AI development technologies.
• Degree or Diploma in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
• (Advantageous)
• Hands-on experience with Large Language Models (LLMs), AI coding tools, or Agentic AI technologies.
• Experience designing and implementing software development workflows using AI agents.
• Experience managing regional or geographically distributed engineering teams across multiple markets.

We regret that only shortlisted candidates will be notified.