Senior AI Native Builder for Real-World AI Systems

NCS Group

Seattle (WA)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

NCS Group is seeking a Senior / AI Native Builder to join AI Central. In this role, you will build, productise, and deploy AI-powered products and MVPs for regulated sectors, working in live client contexts to turn challenges into scalable solutions across Asia Pacific, including Singapore and beyond.

You will join a startup-style team embedded within NCS, reporting to the Chief AI Officer, and will contribute to reusable patterns, playbooks, and AI-native delivery practices across geographies

Qualifications

  • Degree in Computer Science, Information Systems, Engineering, or related field.
  • Demonstrated experience delivering AI, ML, or generative AI solutions in real-world settings.
  • Strong understanding of modern AI tooling and evaluation approaches.

Responsibilities

  • Lead the journey from client problem statement to working prototype, MVP, or deployable solution.
  • Translate ambiguous business challenges into product hypotheses and execution plans.
  • Build and ship AI-enabled solutions using software engineering, model orchestration, automation, and design tools.
  • Make sound trade-offs across speed, quality, security, scalability, and business value.
  • Advise clients on AI investment priorities, architecture decisions, and build-versus-buy choices.

Skills

AI delivery experience
Stakeholder management
Independent delivery

Education

CS/IS/Engineering degree

Tools

LLM orchestration
Automation platforms
Model evaluation

Job description

NCS Group is seeking a Senior / AI Native Builder to join AI Central. In this role, you will build, productise, and deploy AI-powered products and MVPs for regulated sectors, working in live client contexts to turn challenges into scalable solutions across Asia Pacific, including Singapore and beyond.

You will join a startup-style team embedded within NCS, reporting to the Chief AI Officer, and will contribute to reusable patterns, playbooks, and AI-native delivery practices across geographies

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