Asks for

The ad says“Strong design knowledge of agentic systems, RAG, and multi-agent orchestration.”
The ad says“Prompt and context engineering, memory patterns, and eval design.”
The ad says“6+ years in solution architecture, technical consulting, or hands-on GenAI / platform engineering — with at least some time in a customer-facing or co-creation role.”
The ad says“Able to advise on retrieval design — Milvus / vector DBs, graph DBs, hybrid retrieval.”
The ad says“Apps-heavy, but with enough infrastructure understanding to advise credibly: Kubernetes / OpenShift, model serving with vLLM, multi-cloud deployment.”
The ad says“Familiar with the lightweight MLOps work involved in LLM fine-tuning and embedding lifecycle.”
The ad says“Able to advise on retrieval design — Milvus / vector DBs, graph DBs, hybrid retrieval.”
The ad says“Familiar with the lightweight MLOps work involved in LLM fine-tuning and embedding lifecycle.”
The ad says“Strong design knowledge of agentic systems, RAG, and multi-agent orchestration.”
The ad says“Apps-heavy, but with enough infrastructure understanding to advise credibly: Kubernetes / OpenShift, model serving with vLLM, multi-cloud deployment.”
The ad says“Enough security knowledge to advise on guardrails, PII redaction, tenant isolation, and prompt-injection defence.”
The ad says“Prompt and context engineering, memory patterns, and eval design.”
The ad says“Enough security knowledge to advise on guardrails, PII redaction, tenant isolation, and prompt-injection defence.”
The ad says“Strong design knowledge of agentic systems, RAG, and multi-agent orchestration.”
The ad says“6+ years in solution architecture, technical consulting, or hands-on GenAI / platform engineering — with at least some time in a customer-facing or co-creation role.”
The ad says“6+ years in solution architecture, technical consulting, or hands-on GenAI / platform engineering — with at least some time in a customer-facing or co-creation role.”
The ad says“Able to advise on retrieval design — Milvus / vector DBs, graph DBs, hybrid retrieval.”
The ad says“Apps-heavy, but with enough infrastructure understanding to advise credibly: Kubernetes / OpenShift, model serving with vLLM, multi-cloud deployment.”
The ad says“Workshop facilitation and architecture co-creation.”

Company Description

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.

Job Description

About the AI Centre of Excellence

You will be part of the AI Centre of Excellence (COE), a centralised platform team that builds, operates, and evolves an enterprise-grade GenAI platform consumed by multiple AI projects across the organisation.

The COE operates as a platform product organisation, not a project delivery team. It owns shared capabilities end-to-end — reusable building blocks, common services, agent harnesses, orchestration frameworks, retrieval, governance, and observability. Success is measured by platform adoption across AI projects, reliability, and long-term value, rather than one-off delivery milestones.

The role

In this role, you are the COE's outbound technical voice. You sit inside the COE but spend most of your time engaging with AI project teams — co-creating GenAI solutions with their architects, helping them adopt the COE's common services and building blocks, and bringing their needs back into the COE roadmap.

This is a consultant-architect hybrid role. It is technical, but the primary mode is engagement — helping AI project architects design solutions on top of the platform, running architecture reviews, and driving adoption through credibility rather than authority.

You do not own final solution design for any one AI project — that sits with the AI Solution Architect embedded in the project. You also do not build the platform itself — that sits with the Platform AI Architect and Platform AI Engineers. Your unique contribution is the bridge.

Key responsibilities

Engage AI project teams to co-create GenAI solutions on top of the COE platform.
Guide AI project architects in applying the COE reference architecture, common services, and building blocks to their specific use cases.
Run architecture workshops, design reviews, and technical deep-dives with AI project teams.
Capture recurring needs across AI projects and feed them into the COE Product Manager and Platform AI Architect for roadmap consideration — "more AI projects need feature X, the COE should build it once and serve it everywhere."
Drive adoption of COE common services across AI projects through evangelism, enablement, and hands-on support.
Act as the trusted technical contact for AI project architects — first call when they hit something they don't know how to design.
Stay current on GenAI applications, agents, RAG, and orchestration patterns so your advice stays relevant.

Technical environment

Across all roles, you will be working with — or designing for — the following stack. You do not need every item listed; you should be familiar with most and able to learn the rest.

LLM providers: Commercial LLM APIs and self-hosted open-weight models served via vLLM / LLM-d.
Agent frameworks: LangChain, LangGraph, LlamaIndex.
Retrieval: Milvus and Graph DB, with a custom-built ingestion and retrieval framework on top.
Orchestration and harness: Custom-built harness using Skills, eval loops, prompt and context engineering, and multi-agent orchestration on a service mesh.
Runtime: Containerised applications on OpenShift; multi-cloud Kubernetes (AKS, EKS) deployed via GitOps and ArgoCD.
Guardrails: Custom guardrails plus F5 AI Guardrails, Presidio (PII redaction), and OpenTelemetry plugins.
MLOps: Lightweight, focused on LLM fine-tuning and embedding model lifecycle. (No deep / classical ML.)
Observability: OpenTelemetry, Grafana, Prometheus, Loki, Tempo.

How we work

Governance by default: Compliance, security, and guardrails are inherited from the platform, not bolted on per project.
Apps lead, infra supports: GenAI is mostly application-layer work with infrastructure underneath. We expect everyone to be apps-strong and infra-literate.
Telco context: We operate in a telco environment. Telco domain experience is a plus across all roles, not mandatory.

Qualifications

Required qualifications and experience

6+ years in solution architecture, technical consulting, or hands-on GenAI / platform engineering — with at least some time in a customer-facing or co-creation role.
2+ years of hands-on experience designing or delivering production GenAI solutions.
Demonstrated track record of working alongside another team's architects to co-create solutions, not simply delivering to them.
Strong written and spoken communication; comfortable running workshops and architecture reviews with senior technical audiences.

Required skills and knowledge

GenAI applications (must have, deep)

Strong design knowledge of agentic systems, RAG, and multi-agent orchestration.
Prompt and context engineering, memory patterns, and eval design.
Familiarity with LangChain, LangGraph, LlamaIndex, and the kind of harness work the COE does.
Able to advise on retrieval design — Milvus / vector DBs, graph DBs, hybrid retrieval.

Broad technical coverage (must have, working depth)

Apps-heavy, but with enough infrastructure understanding to advise credibly: Kubernetes / OpenShift, model serving with vLLM, multi-cloud deployment.
Enough security knowledge to advise on guardrails, PII redaction, tenant isolation, and prompt-injection defence.
Familiar with the lightweight MLOps work involved in LLM fine-tuning and embedding lifecycle.

Engagement and consulting

Workshop facilitation and architecture co-creation.
Translating business problems into solution designs.
Driving adoption of shared platforms — through enablement, evangelism, and listening.
Synthesising recurring patterns across teams into platform requirements.

Key competencies and attributes

Consultant mindset — listens first, prescribes second.
Holds technical credibility with senior architects without leaning on title or authority.
Strong communicator in writing and in person; comfortable in front of an audience.
Bridges, not turfs — naturally builds connections between teams rather than competing with them.
Curious about the business problems behind each AI project, not just the technology.

Nice to have

Prior consulting or solution-architect-for-internal-clients experience.
Has worked at the intersection of a platform team and product / business teams.
Telco domain experience.

Additional Information

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.

Scam Alert

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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, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at reachus@ncs.com.sg.