Top Artificial Intelligence Jobs in the Philippines

Develops, optimizes, tests, and documents prompts for conversational AI, automation, and business applications. Evaluates model outputs, conducts prompt experiments, maintains prompt libraries, establishes prompting standards, and translates business needs into AI strategies. Collaborates with AI engineers, trainers, product teams, and stakeholders to support Generative AI deployments, quality assurance, governance, and continuous improvement.

Lead enterprise AI programs from concept through production deployment. Define roadmaps, milestones, success measures, and use-case priorities while coordinating business, product, engineering, data, and platform teams. Manage risks, dependencies, governance, monitoring, and operational excellence for AI and Agentic AI solutions. Provide executive reporting, support organizational adoption, and ensure adherence to Responsible AI, security, and data privacy standards.

Own the end-to-end product experience for agentic AI products, shaping the roadmap, defining features, improving UX, and driving 0-to-1 development. Identify product friction through deep product analysis, usage data, and customer feedback. Lead design reviews, create PRDs, prototypes, onboarding experiences, product marketing content, and in-app education while partnering closely with design and engineering.

Develops and supports SAP BI and data integration solutions, including data acquisition, cleansing, ETL, modeling, testing, troubleshooting, reporting, and documentation. Supports global analytics projects, business reporting, incidents, and on-call operations. Evaluates data sources, designs relational and dimensional models, automates repetitive tasks, and collaborates with analysts, engineers, and international business teams.

The position offers IT technical support, focusing on aiding users with technology-related issues and ensuring seamless business operations within the company.

Sales Engineer supporting commercial efforts by combining technical expertise in industrial automation, test & measurement, digital twin, AI, and industrial cybersecurity to engage customers, demonstrate solutions, and enable sales across energy transition and related industries.

The Technical Support Specialist L2 handles escalated technical issues, implements automation scripts, and collaborates with a network analyst for effective IT support.

Join Welo Data’s remote Cebuano contributor network for potential AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural or linguistic accuracy review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Native or near-native Cebuano fluency, English proficiency, digital tool comfort, and strong attention to detail are required.

Architect and improve autonomous AI optimization algorithms for a marketing platform. Analyze A/B tests, integrate AI models, develop multi-touch attribution, expand advertising-channel capabilities, reduce inference costs and latency, incorporate customer feedback, and maintain reliable, continuously improving optimization loops.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, and financial rails. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning engineering, compliance, operations, treasury, finance, and design.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate KYC, transaction monitoring, privacy, limits, licensing, and regulatory requirements. Apply AI with evaluation frameworks, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, launch, metrics, and regulatory requirements. The role partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. It applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance. The position requires strong technical product judgment in regulated financial domains and experience building complex products from strategy through production.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI-native fintech product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Compliance, Operations, Treasury, Finance, and Design.

Own a fintech product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering, compliance, operations, treasury, finance, and design to build reliable, auditable products across payments, banking, remittance, insurance, wealth, and trading. Apply AI thoughtfully with evaluation, safeguards, human oversight, and failure handling while meeting regulatory, security, scalability, and financial correctness requirements.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, and third-party financial rails. Apply AI with appropriate evaluation, safeguards, human oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI finance product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, and launch. Partners with engineering, compliance, operations, treasury, finance, and design to build reliable products involving payments, financial rails, reconciliation, security, and third-party dependencies.

Owns an AI finance product vertical end to end, including strategy, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. The role spans payments, remittance, insurance, wealth, and trading products, requiring close collaboration with engineering, compliance, finance, treasury, operations, and design. Success means shipping reliable, auditable financial products while making deliberate trade-offs across correctness, speed, cost, risk, and user experience.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with appropriate evaluation, safeguards, oversight, and reliability controls while aligning cross-functional teams across compliance, operations, finance, and treasury.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, launch, metrics, and prioritization. The role requires partnering with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. It also incorporates regulatory requirements, financial rails, third-party partners, and AI safeguards while aligning compliance, operations, treasury, finance, design, and engineering.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own product areas within AI stockbroking and broader financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, data, and production insights to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.