Technical Lead

NCS is a leading AI Technology Services Firm with a 15,000-strong team across Asia Pacific. We combine platforms, capabilities, deep domain expertise, AI, and digital resilience to help clients move with greater agility and drive real business impact. NCS is a subsidiary of the Singtel Group.

THE ROLE

Lead teams that build what matters, fast.

Join a startup-style team within one of Singapore's leading technology services firms, working with senior leaders to transform client opportunities into AI-powered products, MVPs, and new ventures.

This is a high-impact technical leadership role for experienced builders who thrive in ambiguity, lead multidisciplinary teams, and move from problem framing to production-ready solutions. You will use AI and AI engineers as a force multiplier across research, design, engineering, and delivery, while remaining accountable for client outcomes and team development.

We are looking for technical leaders who have:

• Led the design and deployment of consequential AI/agentic systems in production
• Built and mentored high-performing engineering teams
• Demonstrated business acumen, critical thinking, and technical judgement under real constraints
• Created technical foundations and architectures that others build on
• Delivered measurable business value through AI innovation

You will lead teams delivering in live client environments, shaping solutions that can be tested, adopted, and scaled across the region.

WHAT YOU WILL OWN

Strategic Technical Leadership

• End-to-end AI delivery methodology and technical standards
• Architecture decisions balancing innovation, scalability, security, and business value
• Engineering roadmaps and team capability development
• Build, lead, and grow a team of AI engineers and builders
• Drive technical onboarding, capability development, and career progression
• Foster excellence, innovation, collaboration, and continuous learning

Reusable Assets & Knowledge

• Ensure reusable assets from client engagements are documented, abstracted, and ready for regional adaptation
• Develop technical playbooks, design patterns, and best practices to scale AI-native delivery
• Establish knowledge transfer mechanisms that build organisational capability

Client & Stakeholder Engagement

• Advise C-suite and senior stakeholders on AI strategy, investment priorities, and architecture
• Collaborate with sales, delivery, and product teams to shape winning propositions
• Represent NCS's AI capabilities in client engagements and industry forums

KEY RESPONSIBILITIES

Technical Leadership & Delivery

• Lead multidisciplinary teams from client problems to prototypes, MVPs, and production-ready solutions
• Define architecture, technology stack, and delivery approach for complex AI initiatives
• Translate ambiguous business challenges into product hypotheses, technical strategies, and execution roadmaps
• Oversee AI-enabled solutions using software engineering, model orchestration, automation, and design tools
• Make architectural trade-offs across speed, quality, security, scalability, cost, and business value
• Ensure enterprise standards for reliability, maintainability, security, and observability

Team Management & Development

• Build, mentor, and grow high-performing AI engineering teams
• Conduct technical, code, and architecture reviews
• Provide coaching, feedback, and career development
• Foster a collaborative, innovative, and psychologically safe culture
• Identify skill gaps and drive upskilling

Strategic Advisory & Thought Leadership

• Advise technology and business leaders on AI investments, architecture, and build-versus-buy decisions, drawing on NCS's cross-sector experience and AIC capabilities
• Shape AI strategy and roadmaps with the Chief AI Officer, sector leads, and NCS leadership
• Contribute to whitepapers, case studies, and industry presentations
• Evaluate emerging AI tools, methods, and frameworks for NCS and our clients

Process & Methodology Innovation

• Drive rapid experiments and iterative delivery to validate desirability, feasibility, and value
• Continuously improve engineering practices, delivery methodologies, and quality standards
• Develop reusable patterns and playbooks to scale AI-native delivery across sectors and geographies
• Champion responsible AI, including fairness, transparency, privacy, and governance

Cross-Functional Collaboration

• Work with sales and account teams on technical proposals and win strategies
• Collaborate with product managers on product vision, roadmaps, and priorities
• Partner with