{"id":1394237,"url":"https://alion.io/job/vbp-senior-data-ai-platform-engineer","title":"Senior Data & AI Platform Engineer","company":{"id":7242,"name":"Vbp","domain":"vbp.com","url":"https://alion.io/company/vbp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":89,"open_postings":16,"ghost_share":0,"stale_share":0.438,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-01T05:45:00Z"}},"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":["Cebu City, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1507},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T13:00:47Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T13:07:31Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview of the Role\nThe Senior Data & AI Platform Engineer will own the end-to-end data pipelines supporting the business, bringing client data, documents, call transcripts, and other information into a centralized PostgreSQL platform on GCP. The role also involves supporting Document AI and LLM solutions that process over 90,000 client files. This is a hands-on Data Engineering position focused on building, operating, troubleshooting, and improving reliable production pipelines rather than data warehousing, big data, or ML model development.\nKey Responsibilities:\nOwn end-to-end production data pipelines, from design and development through deployment, monitoring, troubleshooting, and ongoing maintenance.\nBuild and maintain Python-based data ingestion pipelines that pull information from third-party APIs and other sources such as client data, documents, and call transcripts.\nConsolidate data into a centralized PostgreSQL environment, ensuring data is reliable and accessible to downstream business systems.\nDesign, develop, and maintain cloud-based data solutions using GCP and/or AWS, with GCP technologies including: Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, BigQuery, Cloud Scheduler, and Document AI\nTake primary responsibility for investigating and resolving production pipeline failures, data issues, and integration problems.\nDevelop and maintain advanced PostgreSQL solutions, including complex/large views, JSONB structures, migrations, roles, grants, and database-level access controls.\nBuild and support document-processing and AI/LLM pipelines, including systems capable of processing large volumes of client documents.\nImplement production LLM features and establish methods for evaluating the quality and accuracy of AI-generated outputs where applicable.\nBuild or maintain MCP servers/tools that enable AI applications to interact with business data and answer meaningful business questions.\nDesign secure, scoped, fail-closed APIs for accessing sensitive financial information, including parameterized queries, server-side identity verification, SQL-enforced authorization, and versioned API contracts.\nApply appropriate privacy, security, access controls, and auditability when handling sensitive Australian client financial data.\nWork directly with Pivot Wealth's Sydney-based stakeholders, advisers, brokers, and engineering team to understand business requirements and translate them into reliable technical solutions.\nOperate with a high degree of technical ownership and accountability, particularly in a small engineering environment.\nRequirements\n5+ years of Python experience is preferred, but strong hands-on skills and relevant Data Engineering experience matter more than tenure. We’re looking for someone with a solid technical foundation and a strong willingness to learn.\nStrong professional experience in Data Engineering, particularly the development and ownership of production data pipelines.\nExperience developing data ingestion & integrations using third-party APIs, rather than relying primarily on low-code/no-code integration tools.\nHands-on cloud experience with GCP and AWS.\nStrong experience with PostgreSQL, ideally including: JSONB, Complex or large views, Database migrations, Roles and grants, and SQL/database access controls.\nDemonstrated experience owning, troubleshooting, and resolving data pipeline issues in production.\nExperience building and maintaining complex end-to-end data pipelines, including API, document, or similar ingestion workflows.\nStrong understanding of data security, privacy, authentication, authorization, and access control, particularly when dealing with sensitive information.\nBenefits\n500K per incident HMO coverage + Dental & Optical benefits\n2-week paid Christmas vacation\nElectricity and Data subsidies\n25K Educational Assistance\nTraining and equipment will be provided\nFixed Schedule of Mon-Fri from 7 AM to 4 PM","description_format":"text","description_chars":3916,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-28T13:00:47Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":35,"reasons":["conf:5","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vbp-senior-data-ai-platform-engineer","json_url":"https://alion.io/job/vbp-senior-data-ai-platform-engineer.json","meta":{"generated_at":"2026-10-02T01:40:35Z","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":2119,"day_limit":5000,"remaining_today":2881,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}