Platform AI/Model Engineer - Singapore
14 hours ago
Job description
NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more.
We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people.
Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.
Job Description
As a Platform AI / Model Engineer, you will be part of the AI Center of Excellence (AI COE) – a centralized platform organization responsible for building, operating, and evolving enterprise-grade AI platforms consumed by multiple internal engineering and delivery teams.
The AI COE operates as a platform product team, owning shared AI capabilities end-to-end, including AI enablement, governance, observability, and developer tooling.
In this role, you will build and operate the model platform and AI enablement layer, with a strong focus on model lifecycle management, AI governance, and the AI Model Gateway that controls access to LLMs and AI services.
What will you do?AI Model Platform & Lifecycle Management
Operate and evolve shared services for end-to-end model lifecycle management.
Design and operate standardised onboarding and offboarding workflows for models, including approval, validation, publication, and retirement.
Maintain model registries, catalogues, and metadata to support versioning, lineage, and discoverability.
Shortlist, evaluate, and manage AI models across their lifecycle based on use-case suitability and platform standards.
AI Gateway, Governance & Safety
Help own and operate the AI Model Gateway, governing access, routing, quotas, and usage of LLMs and AI services.
Implement and maintain AI safety guardrails, policies, and usage controls aligned with responsible AI principles.
Collaborate with AI architects and engineers to define and enforce AI governance and platform standards.
Deployment, Runtime & Operations
Be deeply involved in model deployment and runtime enablement, ensuring models are production-ready, reliable, and operable.
Monitor and guide performance, scaling, and capacity planning for model serving to ensure cost-effective and reliable operations.
Support AI/ML systems running in production environments, including troubleshooting and continuous improvement.
Platform Enablement & Collaboration
Contribute clear documentation, standards, and onboarding materials for AI platform consumers.
Work closely with internal engineering teams as platform users, balancing enablement with control and safety.
Take long-term ownership of platform quality, usability, and evolution rather than one-off project delivery.
Qualifications
The ideal candidate should possess:
Required Qualifications & Experience
3–5 years of experience in AI platform engineering, ML engineering, or platform engineering roles.
Experience supporting AI or ML systems in production environments.
Familiarity with shared enablement platforms serving multiple internal consumers.
Experience working with governance, policy, or control-plane services in a shared platform context.
Skills / Knowledge Required
Strong understanding of model lifecycle management, including versioning, metadata, and governance.
Hands-on experience with model registry and tracking tools (e.g. MLflow or equivalent).
Experience creating and maintaining model cards and structured model documentation.
Familiarity with model catalogues and AI asset discoverability.
Hands-on experience operating or integrating with AI Model Gateways (e.g. Portkey or equivalent).
Understanding of LLM access governance, routing, quota management, and policy enforcement.
Familiarity with GPU utilisation, LLM inference runtimes (e.g. vLLM), and model serving patterns.
Experience integrating AI services within Kubernetes or OpenShift environments.
Knowledge of responsible AI, safety guardrails, and usage controls.
Key Competencies & Attributes
Strong platform ownership and governance mindset.
Ability to balance developer enablement with control, safety, and compliance.
Clear communication with both technical and non-technical stakeholders.
Commitment to long-term platform quality, reliability, and evolution.
Pragmatic decision-making in environments with evolving regulation, incomplete standards, and rapidly advancing AI capabilities.
Additional Information
Why Join NCS
Lead high-impact AI management consulting programs for major enterprises and public sector clients.
Shape enterprise strategies and governance frameworks that drive real transformation.
Work with a talented, multidisciplinary team in a collaborative environment.
Competitive compensation and strong professional development support.
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 and visit our LinkedIn career site.
Scam Alert
We are aware of fraudulent job offers and impersonations of NCS recruiters.
Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.
Please note that all official communications from NCS Group will only be sent from verified corporate email addresses.Always check that the sender's email address ends with the genuine NCS domain, and beware of extra letters, symbols or misspellings.
When in doubt, verify the sender's identity by contacting usSimilar jobs
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