{"id":1183254,"url":"https://alion.io/job/sgx-vp-deployed-ai-engineer","title":"VP - Deployed AI Engineer","company":{"id":51295,"name":"Singapore Exchange","domain":"sgx.com","url":"https://alion.io/company/sgx","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":"head","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":99000,"max_usd":255000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-16T16:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-24T18:37:18Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"BUILD MARKETS. SHAPE ECONOMIES.\nAt SGX Group, we create markets. We turn ideas into products and expand access to new opportunities. We are building the future of the exchange in-house: from architecture and platforms to the critical systems that power markets. The biggest decisions are still open to people who join us now.\nThe opportunity\nSGX Group operates Singapore's securities and derivatives exchange. The Deployed AI Engineer sits within the AI & Automation Engineering team and is embedded with a business unit. This is a builder's role: rather than waiting for a requirements document, this engineer works alongside the business to find the opportunities, decides what is worth building, and ships a working product quickly on SGX's internal AI build and evaluation platforms.\nThe role is part engineer, part product owner. You will design and build the user-facing product yourself, using agentic coding tools as your default way of working, and then carry it through governance, adoption and ongoing operation. A material share of the job is deliberately unglamorous: corporate paperwork, regulatory and data-ownership mapping, and large-scale document handling such as redacting and migrating production data into QA for compliance and testing. That work belongs to this role and is not delegated elsewhere.\nWe are looking for range rather than depth of engineering experience. Deep platform, distributed systems and architecture work sits with the Core AI Engineer role; what matters here is the ability to get something genuinely useful into users' hands quickly, and to make it stick.\nThis is a Singapore-based role.\n What you will do\nEmbed with an assigned business unit to discover, qualify and prioritise AI use cases, including the opportunities nobody has thought to ask for\nAct as AI product owner for that unit: own the backlog, define scope with non-technical stakeholders, and decline work that is not worth building\nDesign, build and ship working products end to end on SGX's internal AI platforms, including the full user-facing frontend\nUse agentic coding tools (Claude Code, Gemini CLI and similar) as the primary means of delivery, for prototyping, production code, refactoring, testing and documentation\nIntegrate with SGX's shared AI services and platform components (LLM APIs, RAG and document pipelines, MCP connectors, evaluation services) rather than rebuilding them\nProduce the corporate documentation the organisation runs on: use case registration, risk and materiality assessments, architecture and data-flow descriptions, security and compliance submissions, and access and vendor requests\nMap the relationships that determine whether a use case can proceed: system and data ownership, upstream and downstream dependencies, and the applicable regulatory and internal policy obligations\nCarry out the operational work that regulated delivery requires, accurately and traceably, such as redacting and migrating multi-gigabyte document sets from production to QA for regulatory, compliance and testing purposes, and building repeatable tooling so the next run costs less\nAssess use case risk materiality and apply the required controls, including human-in-the-loop design for medium and high risk use cases\nOwn post-deployment monitoring, ongoing performance, user training, adoption, and measured outcomes (time saved, process improvement, usage)\nProvide structured feedback to the Shared AI Services and Platform team on capability gaps and reusable patterns, so that improvements benefit AI use cases across SGX\n What we are looking for\nAble to build and ship a working web application without hand-holding: a backend language, REST APIs, a relational database, and deployment to cloud. Breadth and shipping speed matter more here than years of large-scale production engineering\nStrong frontend ability: can design and build a usable web interface end to end (React and TypeScript or equivalent) without depending on a separate design or frontend team\nFluent, daily use of AI coding tools such as Claude Code, together with the judgement to review their output, know when not to trust it, and keep an AI-assisted codebase maintainable\nHands-on experience building with LLMs, including prompting, RAG and document processing, evaluation, and tool or agent integration\nDemonstrated product instinct: has identified a problem first-hand, decided what to build, and shipped it to real users\nWillingness and ability to work through corporate process in a regulated environment, including risk assessments, governance artefacts, approvals and audit evidence, and to see them through to sign-off\nGenuine tolerance for unglamorous work, with the discipline to handle bulk data operations such as redaction, migration and verification correctly and defensibly\nProven ability to translate business problems into technical solutions and to work embedded in a business-facing team\nWhat may set you apart:\nWorking knowledge of machine learning fundamentals, including supervised learning, evaluation metrics, embeddings and model limitations, sufficient to judge when machine learning is and is not the right tool\nExperience in financial services, capital markets or another regulated industry\nFamiliarity with Google Cloud Platform, Gemini APIs or Gemini Enterprise, Google ADK and Model Context Protocol (MCP)\nExperience with data redaction or de-identification, data classification, or provisioning production data into non-production environments at scale\nPrior experience as a product owner, solutions consultant, or in another consulting or business-facing technical role\nExperience with Rust, or the appetite to become productive in a Rust codebase\n About SGX Group\nSGX Group is one of the world's most trusted international marketplaces, known for its stability and openness. Anchored in Singapore, we enable price discovery, capital formation and risk management across asset classes, supported by resilient infrastructure and robust clearing. We convene issuers, investors and intermediaries to create and grow markets that stand the test of time. Find out more at www.SGXGroup.com.","description_format":"text","description_chars":6122,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Stock Exchanges & Market Infrastructure"],"lifecycle":[{"event":"open","at":"2026-09-24T14:27:57Z"}],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.796,"p_room":1,"age_days":8,"expected_fill_days":25,"reasons":["conf:11","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/sgx-vp-deployed-ai-engineer","json_url":"https://alion.io/job/sgx-vp-deployed-ai-engineer.json","meta":{"generated_at":"2026-09-26T00:30:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":427,"day_limit":5000,"remaining_today":4573,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}