Top Artificial Intelligence Jobs in Caloocan

Collects, processes, and analyzes large datasets to identify trends, insights, and opportunities that improve business performance. Develops KPI reports, dashboards, data models, algorithms, and visualizations; evaluates data integrity; automates reporting; and communicates findings to technical and non-technical stakeholders. Supports analytics, automation, AI, and machine learning initiatives while collaborating with cross-functional teams and senior leadership.

Leads GWAM operations in the Philippines, overseeing global service delivery, strategy, operating models, transformation, risk and controls, resilience, financial management, workforce planning, and talent development. The role directs large multi-function teams across geographies and strategic partners, drives modernization through automation and AI, manages operational performance and regulatory commitments, and shapes enterprise decisions with global business, technology, finance, risk, and human resources leaders.

Manages end-to-end accounts payable and receivable operations, including invoice processing, billing, payments, reconciliations, month-end close, reporting, and compliance. The role supports global stakeholders across multiple regions while contributing to process standardization, automation, AI adoption, and finance transformation initiatives. Responsibilities also include maintaining dashboards and KPIs, supporting audits and tax requirements, and driving continuous improvement across finance operations.

Lead Optasia’s APAC sales organization, developing regional strategy, driving revenue and market expansion, and building strategic partnerships with mobile network operators, mobile wallets, fintechs, digital banks, and financial institutions. The role manages senior stakeholder relationships, leads and scales the regional sales team, monitors market and regulatory trends, oversees forecasting and pipeline performance, supports proposals and RFPs, and represents the company at industry events.

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Design and deploy AI/ML models and automation to improve procurement analytics, integrate data from ERP and BI tools, build dashboards, lead digital projects, and drive stakeholder adoption and training.

Build AI-powered applications, intelligent assistants, automations, internal tools, and integrations using generative AI, LLMs, APIs, databases, and scripting. Support software engineering and DevOps practices, including testing, CI/CD, deployments, monitoring, and Git workflows. Evaluate AI solutions for reliability, security, privacy, governance, and business value while automating operational processes and collaborating with technical and business teams.

Build and deploy AI-powered agents and automation workflows; develop prompts; configure and integrate AI tools with CRM, ERP, and communication platforms; test product rollouts; troubleshoot issues; optimize processes; monitor initiatives; support validation and live deployments; review code; and collaborate with data, engineering, QA, support, solutions, and business teams.

Oversee accounting for an assigned portfolio using AI agents, AppFolio, and custom automation. Review journal entries, reconciliations, financial statements, AP/AR, corporate accounting, onboarding, and property financials for accuracy and U.S. GAAP compliance. Investigate exceptions, coordinate period close, explain variances, improve automated workflows, and partner with CFO and engineering teams. The role requires independent judgment, strong accounting review skills, and remote collaboration with U.S. Pacific hours.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Designs, tests, implements, and inspects engineering solutions; develops specifications and standards; coordinates subcontractors and suppliers; manages project schedules, risks, safety, and regulatory compliance; analyzes business requirements; supports product and solution development; and recommends process improvements. The role also involves technical reporting, knowledge management support, collaboration, and ongoing professional development.

Supports finance and accounting teams by identifying automation opportunities, testing AI-driven tools, analyzing financial data, developing reports and dashboards, cleaning data, documenting processes, and assisting with financial close activities. The intern collaborates with accounting and IT teams on system enhancements while researching emerging AI applications for finance.

Provides administrative and operational support to the marketing team by coordinating campaigns, webinars, events, and trade shows; managing social media, email marketing, CRM databases, and website updates; creating marketing collateral; tracking campaign performance; preparing reports; supporting lead generation; and maintaining brand consistency. The role requires strong organization, writing skills, basic AI knowledge, marketing software familiarity, fluent English, and willingness to work permanently from home on a night shift.

Develop and deliver analytics solutions, statistical models, and AI-powered applications using large and complex datasets. Translate analysis into actionable business recommendations, collaborate with stakeholders, manage end-to-end analytics projects, and mentor junior data scientists. The role includes designing NLP and LLM solutions, applying machine learning techniques, using visualization tools, and supporting scalable analytics processes across customer lifecycle use cases.

Designs, configures, integrates, deploys, and supports document intelligence and AI solutions across their full lifecycle. Responsibilities include presales discovery, solution architecture, platform configuration, OCR and AI workflow implementation, enterprise integrations, upgrades, testing, production stabilization, optimization, advanced troubleshooting, incident management, documentation, training, and technical advising. The role requires strong analytical, communication, documentation, and client-service skills, plus willingness to work permanently from home on a night shift.

Identify and prioritize AI, Copilot, and automation opportunities across the organization. Facilitate stakeholder workshops, translate business needs into implementation roadmaps, collaborate with developers and process experts, and drive adoption and change management. Track benefits and success measures, promote responsible AI use, and monitor emerging technologies and innovation opportunities.

Drive new business and expansion across mid-market accounts in the Philippines. Build territory plans, generate pipeline, close deals, develop partner relationships, cross-sell and upsell existing customers, deliver forecasts, present technical solutions, and use AI-assisted sales tools to improve qualification and accuracy.

Coordinates and expedites procurement commercial change orders from RFQ through completion. The role follows up with suppliers, validates documentation, tracks quotations and part numbers, escalates delays, maintains KPI dashboards and reports, and collaborates with procurement, engineering, category management, and other stakeholders. It also supports process improvement, automation, compliance, stakeholder meetings, supplier communications, and training for junior team members.

Reviews and creates AI-generated images, videos, voices, scripts, captions, and product content for accuracy, realism, quality, and brand consistency. Tracks content through production, revisions, approval, publication, and client delivery while documenting issues and coordinating with cross-functional teams to meet deadlines and quality standards.

Design, build, deploy, and support production full-stack applications powered by generative AI and agentic architectures. Responsibilities include designing AI workflows and data models, integrating third-party APIs, improving business processes, collaborating with product owners and engineering teams, and enhancing system reliability, observability, scalability, performance, and code quality.

Leads the end-to-end design, development, and delivery of scalable AI and software solutions. Responsibilities include LLM integration, prompt engineering, RAG, model evaluation and deployment, distributed systems architecture, reliability, observability, secure CI/CD, and AI infrastructure optimization. The role provides technical leadership, mentors engineers, drives AI adoption across products, and partners with product, data science, compliance, and architecture teams.

Provides expert-level technical support for AI-enabled and enterprise applications. Troubleshoots complex incidents involving authentication, permissions, data retrieval, integrations, APIs, user interfaces, and AI behavior. Performs root cause analysis, manages escalations within SLAs, supports enterprise AI integrations, creates documentation, enables users, monitors operational metrics, and collaborates with product, engineering, access management, and service teams to improve customer experience and solution performance.

Own enterprise accounts in the Philippines while based in Singapore, driving new logo acquisition and expansion revenue. Lead complex sales cycles with technical and business stakeholders, demonstrate AI-powered developer tools, guide evaluations and rollouts, build executive relationships, quantify ROI, generate outbound pipeline, and provide customer feedback to influence product direction.

Designs and develops end-to-end learning solutions across classroom, virtual, self-paced, and e-learning environments. Responsibilities include needs analysis, curriculum development, instructional materials, AI-assisted content creation, SME collaboration, train-the-trainer facilitation, training readiness, project coordination, and evaluation using Kirkpatrick’s Four Levels. Requires experience with instructional design methodologies, adult learning, training delivery, and learning effectiveness measurement.

Design and develop scalable learning technology, including SCORM/xAPI e-learning, interactive simulations, AI-powered coaching, assessments, and internal applications. Translate learning and business requirements into production software using Python, JavaScript or TypeScript, APIs, Docker, and modern frameworks. Integrate LLMs, create prompts and evaluation methods, troubleshoot LMS tracking and reporting, conduct technical and instructional QA, and collaborate with SMEs, designers, developers, and stakeholders.