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NCS Group

Artificial Intelligence Engineer

England
Posted about 14 hours ago
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NCS

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

As we're looking for Senior / AI Native Builders (Based in Singapore) in AI Central, you will help build, productise, and deploy AI-powered products, MVPs, reusable assets, and new ventures for regulated and mission-critical sectors. You will work in live client contexts, turning ambiguous business challenges into working solutions that can be tested, adopted, and scaled across Singapore and the wider Asia Pacific region.

AI Central is NCS’s enterprise AI capability spine, responsible for building differentiated AI platforms and reusable assets across sectors such as aviation, land transport, public safety, telecommunications, and government.

What will you do?

AI Product & Solution Delivery

  • Lead the journey from client problem statement to working prototype, MVP, or deployable AI solution.
  • Translate ambiguous business challenges into clear product hypotheses, technical approaches, and execution plans.
  • Build and ship AI-enabled solutions using software engineering, model orchestration, automation, and design tools.
  • Drive fast experiments and iterative delivery cycles to validate desirability, feasibility, and business value.

Client Advisory & Stakeholder Engagement

  • Work directly with client technology and business leaders to understand business needs and shape AI-enabled products.
  • Advise senior stakeholders on AI investment priorities, architecture decisions, and build-versus-buy choices.
  • Challenge assumptions constructively and help create clarity through practical, outcome-focused execution.

AI Engineering, Quality & Delivery Judgement

  • Make sound trade-offs across speed, quality, security, scalability, maintainability, and business value.
  • Apply modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations.
  • Balance rapid experimentation with strong engineering discipline, especially in enterprise and regulated environments.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Reusable Assets, Methodology & Scaling

  • Own the AI delivery methodology for your assigned sector vertical.
  • Build and maintain reusable patterns, playbooks, and working practices that help NCS scale AI-native delivery across sectors and geographies.
  • Document and abstract solutions from Singapore lighthouse accounts so they can be adapted for regional deployment.

Team Enablement & Capability Building

  • Support the technical onboarding and capability development of engineers joining your team.
  • Share what works across AI Central and contribute to the broader adoption of AI-native delivery practices within NCS.
  • Stay current with emerging AI tools, methods, and frameworks, applying them where they create measurable advantage.

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 work independently, navigate ambiguity, and deliver outcomes at pace.
  • Strong product instinct, engineering depth, business acumen, critical thinking, and technical judgement.
  • Ability to balance experimentation with security, reliability, scalability, and maintainability.
  • Strong communication and stakeholder management skills, including the ability to translate business needs into technical execution and advise at executive level.
  • Comfort working with senior stakeholders and challenging assumptions constructively.
  • Fluency in using AI as a practical multiplier across design, code, research, documentation, and delivery.
  • A degree in Computer Science, Information Systems, Engineering, or a related field. Equivalent practical experience is also valued.
  • Opportunity is based in Singapore. Willingness to relocate.

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Good to have

  • Experience in consulting, venture building, startup environments, or innovation teams.
  • Experience deploying AI solutions in enterprise or regulated environments such as 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, including experience designing or adapting solutions across multiple Asia Pacific markets.

Why Join NCS?

Grow with Us

  • Work on cutting-edge AI products that shape the future of technology
  • Collaborate with talented, passionate teams across research, engineering, and design
  • Access continuous learning opportunities and career development pathways

Make an Impact

  • Transform AI research into products that solve real problems for clients and users
  • Drive innovation in a leading Technology Services Firm with regional presence
  • Contribute to building a better future through responsible, human-centred AI

Thrive in Our Culture

  • Experience a human-to-human approach where relationships and collaboration matter
  • Be part of Team NCS, where bold ideas meet practical execution
  • Enjoy a supportive environment that values diversity, inclusion, and respect

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

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Skills

Python
JavaScript
Generative AI
LLM Application Patterns
Model Orchestration
Software Engineering
Stakeholder Management
Product Management
Cloud Platforms
CI/CD
API Integration
Technical Architecture
Machine Learning
Business Acumen
Critical Thinking
Technical Judgement

Location

England, United Kingdom

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