{"id":824075,"url":"https://alion.io/job/ncs-eg-ai-solution-architect","title":"#EG AI Solution 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":"B","score":82,"open_postings":371,"ghost_share":0.296,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","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":63000,"max_usd":115000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":5,"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":"RAG","optional":true}],"status":"live","first_seen_at":"2026-05-12T09:56:28Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-16T20:56:33Z","board_verified":true,"closed_at":null,"days_open":157,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":156},"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 role context\nThis role sits embedded inside an AI project - a GenAI initiative within the organisation responsible for delivering business outcomes through AI applications. Each AI project has its own business problems, its own stakeholders, and its own delivery team.\nRather than building GenAI capability from scratch, AI projects assemble their solutions on top of common services, building blocks, and reference architecture provided by a central platform team. As the AI Solution Architect for the project, you are the bridge between the business need and a production GenAI solution that uses those shared platform capabilities effectively.\nThe role\nIn this role, you are the AI Solution Architect for one or more AI projects. You translate business and product requirements into actual GenAI solution designs, leveraging the common services, building blocks, and reference architecture provided by the central platform team.\nYou work closely with a platform engagement counterpart - typically a Solution Architect from the central platform team - who helps you apply the platform to your context. You also work hand-in-hand with the project's product, engineering, and delivery teams who turn your designs into production systems.\nYou are a delivery-focused architect. You prefer shipping over standardising; you consume the platform rather than build it; and your success is measured in working solutions for your AI project.\nKey responsibilities\nOwn the GenAI solution architecture for your AI project - translating business and product needs into end-to-end designs.\nApply the central platform's reference architecture and consume its common services and building blocks; minimise one-off custom work.\nWork hand-in-hand with the platform engagement counterpart to ensure designs leverage the platform effectively, and to surface needs that should become platform features.\nPartner with the AI project's product, engineering, and delivery teams to take designs to production.\nMake pragmatic trade-offs between time-to-value and architectural quality.\nStay close to the business - understand the use case, the users, and what \"good\" looks like for your AI project.\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\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\n5+ years in solution architecture, AI engineering, or hands-on software / platform roles.\n2+ years of hands-on experience designing or delivering production GenAI solutions.\nHas shipped at least one GenAI solution end-to-end to real users.\nComfortable consuming someone else's platform / building blocks rather than building from scratch.\n Required skills and knowledge\nGenAI solution design (must have, deep)\nAgentic systems, RAG, prompt and context engineering - at the level of designing real solutions, not just prototypes.\nChoosing between agent vs. workflow patterns; designing memory and context strategies.\nEval design for production GenAI.\nFamiliarity with LangChain, LangGraph, LlamaIndex (or equivalents).\nEnd-to-end solution architecture (must have, working depth)\nApps-heavy with enough infrastructure literacy to assemble end-to-end designs that run in production.\nComfortable with Kubernetes-based deployments, integration patterns, and observability.\nWorking knowledge of guardrails, PII redaction, and security considerations for GenAI in production.\nWorking with platforms\nDemonstrated ability to consume reusable building blocks rather than build everything from scratch.\nComfortable giving structured feedback to a platform team to improve common services.\nKey competencies and attributes\nPragmatic delivery architect - shipping is a feature.\nStrong customer and stakeholder orientation; understands the business behind the AI project.\nCollaborative - works closely with the platform engagement counterpart and the AI project delivery team.\nComfortable with ambiguity; happy to iterate from prototype to production.\nNice to have\nTelco domain experience (strong plus).\nPrior experience embedded in a business unit or product team.\nFamiliarity with the platform stack: LangChain, LangGraph, LlamaIndex, Milvus, OpenShift / Kubernetes, vLLM.\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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