{"id":3057375,"url":"https://alion.io/job/ncs-ai-engineer-2","title":"AI 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":346,"ghost_share":0,"stale_share":0.139,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":47000,"max_usd":129000,"period":"year","method":"role_country_seniority_unknown","sample_n":112},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"DuckDB","optional":false},{"name":"FastAPI","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Pandas","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"closed","first_seen_at":"2026-10-22T03:22:55Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T03:36:52Z","board_verified":false,"closed_at":"2026-10-23T03:36:52Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"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 Role Summary\nYou are an experienced AI Data Engineer, who will work together with AI Agent Engineers to design and create the AI harness, agent framework, and reusable engineering components required to operate a modern data platform based on Apache Iceberg, Trino, and Parquet.\nYour primary responsibility is to provide the data engineering know-how behind the agentic execution framework that enables multiple specialized agents to collaborate, execute tasks, maintain state, orchestrate workflows, and deliver end-to-end data engineering capabilities.\nThis is an exciting opportunity for someone to fuse their strong data engineering background with modern agentic AI automation.\nKey Responsibilities\nSetting Data Engineering Foundations\nIceberg table definitions and schemas\nTrino SQL scripts and views\nPython data pipeline code\nData quality validation suites\nMetadata and lineage documentation\nCI/CD deployment artifacts\nMonitoring and observability configurations\nTechnical documentation and runbooks\nSupporting Specialized Agents Creation\nSupporting AI Agent Engineers as SME to design and validate AI agents to perform the following:\nDiscover Iceberg catalogs and schemas\nProfile datasets\nGenerate metadata and lineage\nIngest data from databases, APIs, files, and streams\nCreate Parquet datasets\nRegister and maintain Iceberg tables\nGenerate Trino SQL\nBuild transformation workflows\nCreate curated and business-ready datasets\nValidate schemas and data integrity\nDetect anomalies\nGenerate reconciliation reports\nAnalyze Trino workloads\nRecommend partitioning strategies\nOptimize Iceberg tables and Parquet files\nClassify sensitive information\nManage metadata and lineage\nApply retention and compliance policies\nMonitor pipelines and agent activities\nDetect failures and bottlenecks\nGenerate alerts and operational insights\n Skills and Experience\nThe candidate should demonstrate expertise in:\nMinimum 4++ years of relevant Data Engineering experience.\nProficiency in Python, including FastAPI, Pydantic and Pandas.\nExperience with Apache Iceberg, Trino, and Parquet-based lakehouse architectures, or their equivaIents.\nExperience building data ingestion, transformation, and orchestration pipelines.\nStrong knowledge of metadata management, data lineage, and data governance practices.\nFamiliar with modern data engineering technologies, including DuckDB, dbt, and related engineering tools for data transformation, modelling, and pipeline development.\nExperience developing REST APIs, SDKs, and reusable engineering frameworks.\nExperience with observability, monitoring, tracing, and operational support practices.\nStrong understanding of distributed systems, event-driven architectures, and microservices patterns.\nWorking IeveI exposure to Generative AI, Agentic AI, or LLM-based solutions.\nProven ability to design, develop, and operationalize enterprise-grade AI agents for data discovery, ingestion, transformation, optimization, governance, and observability is a strong bonus.\nExperience designing and implementing AI Harness, multi-agent frameworks, LangChain and LangGraph is a bonus.\nSenior engineers will be expected to have demonstrated evidence of leading technical designs, guiding junior engineering team members, working independently with clients and delivery teams, and translating AI/data requirements into scalable, secure, and deployable solutions.\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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