#EG Senior / AI Native Builders

ABOUT AI CENTRAL
AI Central (AIC) is NCS’s enterprise AI capability spine — the group responsible for building, productising, and deploying NCS’s AI platforms and reusable assets across regulated and mission-critical sectors. AIC works at the intersection of deep AI engineering and high-stakes client environments in aviation, land transport, public safety, telecommunications, and government.
AIC is not an internal support function. It is where NCS’s most differentiated AI capabilities are built, validated, and scaled — and where solutions developed in Singapore are prepared for regional deployment across Asia Pacific.
THE ROLE
Build what matters, fast.
Join a startup-style team embedded within one of Singapore’s leading technology services firms, working directly with the Chief AI Officer and senior leaders to turn client opportunities into AI-powered products, MVPs, and new ventures.
This is a high-autonomy role for experienced builders who thrive in ambiguity and know how to move from problem framing to working solution. You will use AI as a force multiplier across research, design, engineering, and delivery, while staying accountable for real client outcomes.
We are looking for engineers who can demonstrate that they have designed and deployed consequential AI systems, exercised independent business acumen, critical thinking, and technical judgement under real constraints, and built things that others build on. The right candidate may be early in their career by conventional measures but advanced by the metrics that matter to us.
You will not be working in a sandbox or building theoretical demos. You will be working in live client contexts, shaping solutions that can be tested, adopted, and scaled.
WHAT YOU WILL OWN
The AI delivery methodology for your assigned sector vertical
The reusable asset library emerging from your client engagements — ensuring that solutions built for Singapore lighthouse accounts are documented, abstracted, and ready for regional adaptation
The technical onboarding and capability development of engineers who join your team
KEY RESPONSIBILITIES
Lead the journey from client problem statement to working prototype, MVP, or deployable solution
Translate ambiguous business challenges into clear product hypotheses, technical approaches, and execution plans
Build and ship AI-enabled solutions using the right combination of software engineering, model orchestration, automation, and design tools
Make sound trade-offs across speed, quality, security, scalability, and business value
Advise client technology and business leaders on AI investment priorities, architecture decisions, and build-versus-buy choices — drawing on NCS’s cross-sector experience and AIC’s capability base
Drive fast experiments and iterative delivery cycles to validate desirability, feasibility, and value
Contribute reusable patterns, playbooks, and working practices that help NCS scale AI-native delivery across sectors and geographies
Stay current with emerging AI tools, methods, and frameworks, and apply them where they create measurable advantage
THIS ROLE IS FOR YOU IF…
You are energised by ambiguity and know how to create clarity through action
You are comfortable defining the scope, shaping the approach, and driving execution with limited hand-holding
You combine product instinct, engineering depth, and strong judgement
You work well with senior stakeholders and can challenge assumptions constructively
You use AI fluently in your day-to-day workflow as a practical multiplier across design, code, research, and delivery
You care about shipping real solutions that solve meaningful client problems
You move quickly, but you also know where quality, trust, and maintainability matter most
The ideal candidate should possess:
Strong hands-on engineering ability in Python, JavaScript, or similar languages, with experience building and integrating production-grade applications
Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings
Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations
Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability
Strong communication and stakeholder management skills, with the ability to translate business needs into technical execution and to advise at the executive level
Proven ability to work independently, navigate ambiguity, and deliver outcomes at pace
GOOD TO HAVE
Experience in consulting, venture building, startup environments, or innovation teams
Experience deploying AI solutions in enterprise or regulated environments — aviation, land transport, public safety, telecommunications, or government
Familiarity with cloud platforms, APIs, CI/CD, analytics, and observability
Experience shaping early-stage products with users and iterating based on feedback
Regional exposure — experience designing or adapting solutions across multiple Asia Pacific markets

Employment type
Full-time

Work arrangement
No