{"id":824077,"url":"https://alion.io/job/ncs-eg-platform-ai-architect","title":"#EG Platform AI Architect","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":91,"open_postings":342,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":238000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"Azure AKS","optional":false},{"name":"Context Engineering","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"GraphDB","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Loki","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenShift","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Service Mesh","optional":false},{"name":"vLLM","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"FinOps","optional":true},{"name":"Function Calling","optional":true},{"name":"RAG","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-12T09:37:13Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-25T23:45:58Z","board_verified":true,"closed_at":null,"days_open":166,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":165},"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.\n About the AI Centre of Excellence\nYou 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.\nThe 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.\nThe role\nIn this role, you are the technical and architectural authority for the COE platform. You define the target architecture, design patterns, and technical guardrails for the GenAI platform - including agent orchestration, retrieval, AI gateway, governance, and observability - and you guide engineers to make those architectures practical, scalable, and production-ready.\nYou focus on platform-wide design, not one-off solutions. Your work shapes how GenAI capabilities are built, exposed, governed, and evolved across the enterprise.\nThis is the most technically demanding of the four AI architecture roles. It spans applications, infrastructure, and security - with apps as the centre of gravity.\n Key responsibilities\nDefine and evolve the reference architecture for the COE GenAI platform - covering agents, retrieval, orchestration, harness, AI gateway, model lifecycle, and governance.\nDesign multi-tenant platform capabilities that are safely and efficiently consumed by multiple AI projects.\nEstablish architectural standards, design patterns, and non-functional requirements (security, isolation, scalability, cost, observability).\nReview and guide technical designs produced by Platform AI Engineers; act as escalation point for complex platform decisions.\nPartner with the Engagement Solution Architect to convert recurring AI project needs into platform roadmap items.\nBalance innovation with operability - make pragmatic trade-offs between ideal architecture and delivery reality.\nCollaborate across security, data, and application architecture teams to ensure platform decisions hold up at enterprise scale.\nTechnical environment\nAcross 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.\nLLM providers: Commercial LLM APIs and self-hosted open-weight models served via vLLM / LLM-d.\nAgent frameworks: LangChain, LangGraph, LlamaIndex.\nRetrieval: Milvus and Graph DB, with a custom-built ingestion and retrieval framework on top.\nOrchestration and harness: Custom-built harness using Skills, eval loops, prompt and context engineering, and multi-agent orchestration on a service mesh.\n Runtime: Containerised applications on OpenShift; multi-cloud Kubernetes (AKS, EKS) deployed via GitOps and ArgoCD.\n Guardrails: Custom guardrails plus F5 AI Guardrails, Presidio (PII redaction), and OpenTelemetry plugins.\n MLOps: Lightweight, focused on LLM fine-tuning and embedding model lifecycle. (No deep / classical ML.)\nObservability: OpenTelemetry, Grafana, Prometheus, Loki, Tempo.\nHow we work\nPlatform-product mindset: We treat the COE platform as a product. Adoption, developer experience, and reliability matter more than shipping features that nobody uses.\nBuild once, serve everywhere: Capabilities needed by multiple AI projects become COE building blocks. One-off needs stay in the project.\nGovernance by default: Compliance, security, and guardrails are inherited from the platform, not bolted on per project.\nApps lead, infra supports: GenAI is mostly application-layer work with infrastructure underneath. We expect everyone to be apps-strong and infra-literate.\nTelco context: We operate in a telco environment. Telco domain experience is a plus across all roles, not mandatory.\n Required qualifications and experience\n8+ years in software, platform, or AI / data engineering roles, with a clear progression toward architecture.\n3+ years of hands-on architecture experience for GenAI, LLM, or agent-based systems in production.\nProven track record of designing shared platforms, internal products, or developer platforms consumed by multiple teams.\nStrong background in cloud-native, distributed, and event-driven system architectures.\nDemonstrated ability to influence technical direction across multiple teams without direct authority.\n Required skills and knowledge\nGenAI applications and orchestration (must have, deep)\nReference architectures for agentic systems, RAG, and multi-agent orchestration.\nMemory and context engineering at platform scale.\nPrompt and context engineering as a first-class platform concern.\nFamiliarity with LangChain, LangGraph, LlamaIndex, and harness design (Skills, tool use, sub-agents).\nEval and guardrail design - building feedback loops into the platform itself.\nMulti-tenant platform design (must have, deep)\nTenant isolation, identity, secrets, and access control patterns.\nAI Gateway design: routing, access control, quotas, observability.\nDesigning for adoption - SDKs, building blocks, developer experience.\nCost governance, model routing, and FinOps for shared GenAI platforms.\nInfrastructure and runtime (must have, working depth)\nCloud-native platforms - Kubernetes / OpenShift - at architectural depth.\nMulti-cloud Kubernetes (AKS, EKS) with GitOps / ArgoCD.\nModel serving with vLLM and GPU-aware deployment.\nWorking knowledge of IaC principles (e.g. Terraform or equivalent).\nSecurity and governance (must have, working depth)\nArchitecture for guardrails - F5 AI Guardrails, Presidio, custom PII redaction, prompt-injection defences.\nLightweight MLOps for LLM fine-tuning and embedding model lifecycle.\nModel lifecycle management, model registries, model cards, AI governance.\nObservability\nObservability architectures using OpenTelemetry, Grafana, Prometheus, Loki, Tempo.\nKey competencies and attributes\nStrong systems thinking and architectural judgment.\nAbility to translate strategy into executable designs.\nPragmatic - balances ideal architecture against delivery reality.\nComfortable influencing without authority across multiple senior stakeholders.\nPlatform-first, long-term ownership mindset.\nNice to have\nTelco domain experience.\nOpen-source contributions to LLM, agent, or platform projects.\nPrior experience building developer platforms or internal PaaS.\n 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.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe 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.\nPlease 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. 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