AI Engineering
Posted 9 Jun 2026
Advertised as “(33261) AI Engineering Lead, Automation and Platforms”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Contract
- Contract
No salary listed for this role.
Field of studyComputer Science, Data Science, Engineering, Information Systems, Software Engineering (or related)
Study levelBachelor's
About Us
NUSX is where NUS talent, research and ideas meet the people, pathways and resources that can take them further. That includes founder development, research translation, venture creation, industry partnerships and access to capital and global networks. The parts of NUSX do different things, but we share a common ambition: help more NUS talent, research and ideas find a path to use and scale. NUSX was known as NUS Enterprise until September 2026.
Role Purpose
The AI Engineering Lead will provide technical leadership for ETP’s AI automation, data integration, workflow automation and digital platform capabilities. The role will lead the technical direction and delivery discipline for AI Engineers and related digital workstreams, ensuring that automation solutions are scalable, secure, maintainable and aligned with ETP’s operating needs.
The role is expected to help ETP move towards a more efficient operating model where staff spend less time on manual administration, repetitive reconciliation and fragmented reporting, and more time on higher-impact work. This role leads AI engineering architecture and delivery across data integration, workflow automation, AI agents and platform capabilities.
Key Responsibilities
1. Technical Architecture and Solution Design
- Define the technical architecture for AI automation, workflow automation, data integration and platform capabilities across ETP.
- Determine how the data lake, AI inference layer, vector database, workflow automation tools, SaaS platforms and ETP Hub should connect.
- Translate business requirements and operational pain points into technical solution designs, delivery plans and prioritised build tasks.
- Ensure technical solutions are secure, maintainable, reusable and aligned with ETP’s longer-term digital operating model.
2. AI Engineering Delivery Leadership
- Lead the AI Engineers in delivering AI agents, automation workflows, data pipelines, reporting automation and integration components.
- Review technical outputs including scripts, workflows, data logic, API integrations, AI-assisted tools and deployment approaches.
- Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment.
- Support the use of AI coding tools to accelerate development while ensuring appropriate technical review and quality control.
3. Data, AI and Workflow Automation
- Provide technical oversight for data cleanup, data transformation, reconciliation logic, reporting automation and AI-enabled reporting.