Top Artificial Intelligence Jobs in Caloocan

Part-time virtual assistant responsible for executing and publishing content across LinkedIn, Facebook, and Instagram; coordinating podcast logistics and promotions; managing newsletters and GoHighLevel marketing tasks; organizing and distributing content assets; maintaining workflows and deadlines; using AI tools (ChatGPT) to follow prompts and eventually assist with AI-assisted drafting. Emphasis on execution, organization, and ensuring consistent distribution rather than primary content creation.

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.

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.

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, 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.

Convert raw workshops, interviews and long-form video into high-volume micro-content, sizzles, courses and high-converting landing/funnel pages using AI tools. Manage asset libraries, QA, reporting, CRM integrations and rapid revisions to meet SLAs.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.

The AI Product Manager will design monetization strategies, lead AI product development, manage performance evaluation, and ensure market positioning.

Lead the ASH onboarding process, coordinate cross-functional teams, manage client communication, oversee testing activities, handle change requests, and empower stakeholders through risk analysis and reporting.

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.

Designs and maintains production-ready AI automation solutions using Microsoft Power Platform, Dataverse, Microsoft Graph, Microsoft 365, APIs, and MSP tools. Builds LLM-enabled workflows, integrates systems, models data, and improves operational efficiency for multiple clients or organizations. The role emphasizes reliability, security, maintainability, documentation, error handling, and lifecycle management. Requires strong scripting and systems-thinking skills, with independent end-to-end ownership in a remote, permanent night-shift environment.

The role involves assessing organizational structures and developing AI-enabled transformation strategies, focusing on efficiency and business performance improvement.