{"id":2167522,"url":"https://alion.io/job/singtel-senior-ai-finops-engineer-aida","title":"Senior AI FinOps Engineer #AIDA","company":{"id":49912,"name":"Singtel","domain":"singtel.com","url":"https://alion.io/company/singtel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":61000,"max_usd":132000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"FinOps","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-10-09T10:42:51Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-19T03:22:27Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Powering the Future with AIDA\nAIDA - Intelligence meets Impact.\nAt AIDA (Artificial Intelligence & Data Analytics), you will design and scale AI and data solutions that power Singtel’s transformation into a global, AI-first telco of the future. Together, we will redefine the telecommunications industry in a culture where intelligence empowers people, and human potential sits at the heart of everything we do.\nBe a Part of Something BIG!\nOwn the FinOps framework for Central AI Kitchen, providing full visibility and control of cloud, on-prem OpenShift, GPU infrastructure and GenAI token consumption\nDrive optimization of AI token usage, GPU/compute utilization and OpenShift resources to achieve sustainable unit economics while meeting application performance requirements\nEstablish chargeback/showback, cost allocation and governance standards to ensure accurate attribution of platform costs to projects, teams and applications\nAdminister platform budgets, forecasts and procurement plans, proactively identifying budget risks, cost anomalies and capacity requirements\nPartner engineering, infrastructure, procurement and finance teams to continuously optimize cloud and on-prem infrastructure costs\nChampion FinOps best practices across AIDA, ensuring AI platform investments are aligned with utilization, business value and financial efficiency\nHow You will Make An Impact:\nOwn and maintain the centralized FinOps framework for tracking cloud, OpenShift, GPU infrastructure and GenAI token consumption across projects, teams and applications\nDrive GenAI token cost optimization through model selection, routing, caching, prompt/token efficiency, usage controls and analysis of cost per request/use case\nOptimize OpenShift infrastructure consumption through resource right-sizing, utilization analysis, workload scheduling, quota management and identification of under-utilized CPU, memory, storage and GPU resources\nDrive cloud cost optimization across Azure services through right-sizing, reservation/commitment planning, workload scheduling, storage optimization and elimination of idle or unnecessary resources\nEstablish and operate chargeback/showback models, tagging, cost allocation and governance standards for accurate project and use-case level attribution\nAdminister Central AI Kitchen operating and infrastructure budgets, including forecasting, budget tracking, variance analysis and regular management reporting\nSupport infrastructure, software and cloud procurement activities including demand forecasting, quotation evaluation, commercial analysis, contract/commitment planning and purchase requirements\nBuild dashboards, alerts and unit-cost metrics to monitor actual and forecasted spend, utilization, token cost and cost efficiency, including anomaly detection for budget risks\nPartner Platform Engineering, ML/LLMOps, IT Infrastructure, Finance and Procurement teams to identify and implement cost optimization opportunities without compromising platform performance and reliability\nDrive adoption of FinOps practices across Central AI Kitchen and provide recommendations to management on investment, capacity, sourcing and cost optimization decisions.\nSkills for Success:\nBachelor’s degree in Computer Science, Engineering, or a related field\nAt least 6 years of experience in cloud infrastructure, platform engineering, FinOps, technology cost management and/or related operations\nHands-on experience managing and optimizing cloud infrastructure costs, including budgeting, forecasting, cost allocation and commercial commitments\nExperience working with Kubernetes/OpenShift environments and analyzing infrastructure resource utilization and cost\nExperience partnering Finance, Procurement and engineering teams on technology budgets, procurement and cost optimization\nStrong knowledge of cloud FinOps practices including budgeting, forecasting, cost allocation, chargeback/showback, anomaly management and unit economics\nWorking knowledge of Kubernetes/OpenShift resource management including CPU, memory, storage and GPU utilization, requests/limits, quotas and workload scheduling\nKnowledge of Kubernetes/OpenShift cost management tools such as Kubecost/OpenCost and observability platforms such as Grafana\nUnderstanding of GenAI/LLM cost drivers including input/output tokens, model serving, GPU utilization, context size, model routing and inference economics\nAbility to analyse AI token consumption and identify optimization opportunities across prompts, models, applications and LLM endpoints\nExperience developing dashboards and management reports using Grafana or equivalent tools\nExperience in technology budgeting, procurement analysis, vendor quotations and commercial/cost modelling\nStrong communication skills to explain technical cost drivers in business-oriented language\nProblem-solving and innovation mindset to find creative ways to balance performance vs cost in AI workloads\nAre you ready to say hello to BIG Possibilities?\nJoin Singtel to shape what's next and accelerate your career through meaningful work, continuous\nlearning, and real impact.\nTake the leap with Singtel to shape what’s next and accelerate your 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