{"id":1998800,"url":"https://alion.io/job/standard-chartered-principal-ai-engineer-2","title":"Principal AI Engineer","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":63000,"max_usd":151000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1119},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache Pulsar","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MinIO","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-07T10:14:18Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-15T19:13:08Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Summary\nThe Principal AI Engineer is responsible for designing, building, and operating the data pipelines and data infrastructure that power AI, machine learning, and agentic applications across the Bank. The role owns the end-to-end data lifecycle from ingestion and integration through transformation, semantic enrichment, and retrieval-ready delivery.\nThis role partners closely with data, engineering, AI, and platform teams to create scalable, reliable, and governed data foundations that support AI-driven products and intelligent automation. The successful candidate combines deep expertise in large-scale data engineering, distributed processing, semantic modelling, and modern data architecture with the ability to design systems that balance scalability, performance, resilience, and cost.\nKey Responsibilities\nStrategy\nDrive the design and evolution of the Bank's AI data architecture and data engineering standards.\nDefine scalable patterns for ingestion, transformation, enrichment, storage, and retrieval of structured and unstructured data.\nContribute to enterprise data standards, semantic modelling frameworks, and reusable architecture blueprints supporting AI adoption.\nPartner with architecture, platform, and AI teams to shape the future data ecosystem for AI and agentic applications.\nBusiness\nDesign, build, and operate data pipelines supporting AI, machine learning, analytics, and agent-based use cases.\nDeliver trusted, high-quality datasets that support model training, retrieval, feature generation, and operational AI workloads.\nEnable integration across databases, APIs, event streams, cloud platforms, document repositories, and external data sources.\nCollaborate with AI engineers, data scientists, architects, and business stakeholders to deliver scalable data solutions.\nProcesses\nDevelop and maintain batch and streaming data pipelines using distributed processing technologies.\nDesign and optimise data workflows running on lakehouse platforms and distributed compute environments.\nBuild retrieval-ready and feature-ready datasets for AI and machine learning applications.\nDevelop semantic layers, ontologies, taxonomies, and knowledge representations that improve data discovery and AI reasoning.\nDesign solutions leveraging graph databases, vector stores, document stores, and other non-relational technologies.\nImplement data quality controls, lineage, observability, monitoring, and operational support processes.\nSupport ingestion, parsing, chunking, enrichment, and normalisation of unstructured and multimodal content.\nRisk Management\nApply security, governance, privacy, and data protection controls throughout the data lifecycle.\nEnsure data engineering solutions align with enterprise governance, regulatory requirements, and operational resilience standards.\nPromote strong data quality, traceability, auditability, and reliability practices across data platforms.\nGovernance\nContribute to enterprise standards for AI-ready data architecture and engineering practices.\nMaintain documentation, architecture artefacts, engineering standards, and operational runbooks.\nSupport architecture reviews and technology governance processes.\nRegulatory & Business Conduct\nDisplay exemplary conduct and live by the Group's Values and Code of Conduct.\nTake personal responsibility for embedding the highest standards of ethics, regulatory compliance, and business conduct.\nEffectively identify, assess, escalate, mitigate, and resolve risk, conduct, and compliance matters associated with data platforms and AI solutions.\nOur Ideal Candidate\n12+ years of experience in data engineering, software engineering, data platforms, or distributed systems, with a strong track record of delivering enterprise-scale data solutions.\nProven experience building and operating large-scale batch and streaming data pipelines supporting critical business workloads.\nStrong expertise in Spark, Databricks, or equivalent distributed compute platforms, including performance optimisation, workload tuning, and operational support.\nExperience designing data platforms using lakehouse architectures, object storage, and modern data formats including Parquet, Delta Lake, or Iceberg.\nStrong understanding of data modelling and storage technologies, including graph databases, vector databases, document stores, key-value stores, and wide-column databases.\nExperience building data integration solutions across databases, APIs, event streams, files, and cloud-native platforms.\nKnowledge of ontology development, semantic modelling, taxonomies, RDF, knowledge graphs, or property graph technologies.\nExperience processing and transforming unstructured and multimodal content into AI-ready datasets.\nStrong understanding of system design concepts including throughput, latency, consistency, idempotency, resiliency, and cost optimisation.\nExperience with AI, machine learning, feature engineering, retrieval architectures, or agentic applications provides additional value.\nStrong analytical thinking, problem-solving skills, and a collaborative engineering mindset.\nDegree in Computer Science, Engineering, Data Engineering, Information Systems, or a related discipline. Equivalent practical experience is equally valued.\nRole Specific Technical Competencies\nData Engineering & Data Pipelines\nApache Spark & Distributed Processing\nDatabricks & Lakehouse Architecture\nObject Storage (ADLS, S3, MinIO)\nData Modelling & Data Architecture\nGraph Databases & Knowledge Graphs\nVector Databases & Retrieval Systems\nNoSQL Data Platforms\nStreaming Technologies (Kafka, Kinesis, Pulsar)\nData Integration & API Engineering\nSemantic Modelling, RDF & Ontologies\nAI/ML Data Preparation & Feature Engineering\nUnstructured Data Processing\nData Governance, Observability & Lineage\nPerformance Optimisation & System Design\nCloud Data Platforms (Azure & AWS)\nAbout Standard Chartered\nWe're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.\nOur purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.\nTogether we:\nDo the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do\nNever settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well\nAre better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term\nWhat we offer\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits\nA continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.\nBeing part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.\nRecruitment Assessments\nSome of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.\nVisit our careers website www.sc.com/careers","description_format":"text","description_chars":8692,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Flexible schedule","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-07T10:14:18Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.637,"p_room":0.45,"age_days":7,"expected_fill_days":4,"reasons":["conf:6","velocity","win:tail","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/standard-chartered-principal-ai-engineer-2","json_url":"https://alion.io/job/standard-chartered-principal-ai-engineer-2.json","meta":{"generated_at":"2026-10-15T21:50:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":33154,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":20709},"rest":"https://alion.io/mcp/rest/get_company?id=20709"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstandard-chartered-principal-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstandard-chartered-principal-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstandard-chartered-principal-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/standard-chartered-principal-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstandard-chartered-principal-ai-engineer-2"}]}