{"id":823814,"url":"https://alion.io/job/ncs-eg-senior-ai-finops-engineer","title":"#EG Senior / AI FinOps Engineer","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":92,"open_postings":353,"ghost_share":0,"stale_share":0.133,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","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":60000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"FinOps","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Edge AI","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"LiteLLM","optional":true}],"status":"live","first_seen_at":"2026-08-22T00:42:48Z","employer_posted_date":"2026-08-22","last_verified_at":"2026-10-19T22:34:52Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":58},"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.\nAs an AI FinOps Engineer, you will help NCS deliver cost-efficient, production-ready AI solutions by monitoring token usage and inference spend, optimising model selection, and putting cost governance in place across client engagements. You will build dashboards and cost reports, identify right-sizing opportunities across frontier and smaller models, support POC-to-production cost modelling, and work closely with AI Architects, LLMOps Engineers, Cloud Architects, and commercial teams to provide clear, defensible cost insights.\nAt the Senior AI FinOps Engineer level, you will own FinOps standards across multiple AI engagements, guide pricing and commercial discussions with clients, mentor junior engineers, and help shape NCS-wide AI cost governance best practices.\nThis role sits within NCS AI Central's (AIC) Forward Deployed Engineering (FDE) model - the combined capability that takes AI solutions from proof-of-concept through to hardened production systems. You will operate across both fast-moving FDE engagements (POC/POV, pilot deployments for strategic and lighthouse clients) and steady-state system development and maintenance work - bringing the same rigor and a reusable, asset-fed approach to both.\nWhat will you do?\n1. Cost Monitoring & Optimisation\nBuild and maintain token spend and inference cost monitoring across engagements, with per-model, per-engagement, and per-client visibility.\nIdentify and act on right-sizing opportunities - routing between expensive frontier models and cheaper fine-tuned/smaller models without compromising quality.\nSet up cost alerting and budget guardrails so engagements don't silently exceed projected AI spend.\n2. Model Selection Economics\nProvide cost-performance analysis to AI Architects and AI/LLM Specialists during model selection - translating benchmark results into a total-cost-of-ownership view.\nModel the cost implications of scaling a POC/POV to production volume, so pricing and commercial conversations are grounded in real projected spend.\n3. Governance & Reporting\nProduce regular cost transparency reports for engagement leads and clients, supporting the PRR Model & Token Strategy pillar.\nMaintain FinOps best-practice standards across AIIS engagements, aligned with broader NCS cloud FinOps practices.\n4. FDE & Development/Maintenance Coverage\nDuring FDE engagements: give fast, lightweight cost estimates during POC/POV to inform early client conversations about production viability.\nDuring system development & maintenance engagements: own ongoing cost governance for live production AI systems, catching cost drift before it becomes a client issue.\nContribute reusable cost-modelling templates and dashboards back into the shared internal asset library.\n5. Collaboration\nWork closely with LLMOps Engineers (who own the monitoring infrastructure) and Cloud Architects on the underlying cost/performance tradeoffs.\nSupport commercial and presales conversations with defensible cost data, without owning the client proposal itself.\nRole Levels We Are Hiring For\nWe are hiring at two levels for this role. All responsibilities above apply to both; the distinction is in scope of ownership, years of experience, and seniority of judgement expected.\nAI FinOps Engineer\n2-4 years of relevant experience. Builds and maintains cost dashboards, monitors spend, and executes model-cost analysis for individual engagements, under guidance from a Senior AI FinOps Engineer or AI Architect.\nSupports cost reporting and right-sizing recommendations for one or two engagements at a time.\nSenior AI FinOps Engineer\n5+ years of relevant experience, including prior ownership of cloud/AI cost governance at scale. Owns the FinOps framework and standards across multiple engagements.\nAdvises directly in commercial/pricing conversations with clients, mentors junior FinOps and AI Engineers, and sets NCS-wide AI cost governance best practices.\nThe ideal candidate should possess:\n2+ years in cloud FinOps, cost engineering, or a related technical-finance role, ideally with exposure to AI/ML workloads; 5+ years with end-to-end cost governance ownership expected at Senior level.\nSolid understanding of LLM pricing models (token-based, per-request, reserved capacity) across major providers (OpenAI, Azure, AWS Bedrock, Vertex).\nComfortable working with cost/usage data - SQL, spreadsheet modelling, and basic scripting (Python) for automation and dashboards.\nAble to translate technical usage data into clear, non-technical cost narratives for engagement leads and clients.\nComfortable working across both quick, directional cost estimates (FDE/POC) and rigorous, audited cost governance (production system maintenance).\nPreferred Qualifications\nFinOps Foundation certification (FinOps Certified Practitioner) or equivalent cloud cost management experience.\nExperience with cloud cost management tooling (CloudHealth, Kubecost, native AWS/Azure/GCP cost tools) extended to AI-specific cost tracking.\nExposure to Singapore Government commercial/procurement contexts.\nFamiliarity with model routing/gateway tools that expose per-request cost data (LiteLLM, Bedrock, Azure OpenAI).\nTech Stack (Illustrative)\nLanguages: Python, SQL\nCost & Monitoring: Kubecost, cloud-native cost tools (AWS Cost Explorer, Azure Cost Management, GCP Billing)\nLLM Cost Tracking: Model gateways/routers with per-request cost metering (LiteLLM, Bedrock, Azure OpenAI, Vertex)\nReporting: Excel/BI dashboards, Grafana for real-time cost visualisation\nCloud: AWS/Azure/GCP; GCC/HCC exposure a plus\nWhy Join NCS?\nGrow with Us\nWork on cutting-edge AI products that shape the future of technology\nCollaborate with talented, passionate teams across research, engineering, and design\nAccess continuous learning opportunities and career development pathways\nMake an Impact\nTransform AI research into products that solve real problems for clients and users\nDrive innovation in a leading Technology Services Firm with regional presence\nContribute to building a better future through responsible, human-centred AI\nThrive in Our Culture\nExperience a human-to-human approach where relationships and collaboration matter\nBe part of Team NCS, where bold ideas meet practical execution\nEnjoy a supportive environment that values diversity, inclusion, and respect\nWe 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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