Top Artificial Intelligence Jobs in the Philippines

Reviews and generates cloud compliance and audit reports, applying cloud governance and PCI knowledge. The role also expects proactive adoption of AI and familiarity with at least one cloud service provider.

Lead payment lifecycle operations, including daily processing, reconciliations, investigations, exception management, and performance tracking. Resolve control and production breaks, manage operational risk, support fraud prevention, and escalate threats or delays. Partner with stakeholders on automation, process improvements, and client experience enhancements while translating business priorities into execution plans and measurable outcomes.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

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.

Lead end-to-end recruitment across APAC for multiple business functions. Partner with hiring managers, develop sourcing strategies and talent pipelines, deliver strong candidate experiences, provide market intelligence, manage recruitment technologies and employer branding, analyze hiring metrics, and support process improvements and talent acquisition initiatives.

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.

Develops and delivers training programs, onboarding, refresher courses, and need-based learning content for APAC and regional teams. Partners with delivery teams to identify performance gaps, conduct root cause analysis, lead calibration and review sessions, and assess training effectiveness. The role also monitors industry trends and promotes continuous improvement in training methods and content.

Lead frontline leadership development programs, succession planning, coaching frameworks, leadership academies, and high-potential initiatives. Partner with Operations, HR, Quality, and clients to close capability gaps, evaluate program effectiveness, and improve business outcomes. Manage leadership development teams, budgets, vendors, and strategic projects while advising senior leaders on workforce readiness, organizational effectiveness, and talent retention. Integrate AI-enabled learning, digital leadership, change management, and skills-based development into scalable programs.

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.

Leads multiple technical sales teams in the Philippines, driving AI and cloud transformation initiatives, pipeline and forecast accuracy, revenue growth, customer and partner engagement, competitive strategy, and sales execution. Manages organizational resources, coaches sales specialists, develops talent and succession plans, promotes technology-enabled selling, and aligns Microsoft solutions with customer business outcomes and market opportunities.

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.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

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.

Own the full enterprise sales cycle for AI-driven forecasting and optimization solutions, from pipeline generation through closing and customer partnership. Sell to senior executives across supply chain, manufacturing, CPG, retail, and logistics organizations. Build relationships, quantify ROI, manage complex multi-stakeholder deals, close six- and seven-figure contracts, maintain CRM accuracy, forecast reliably, and help shape the company’s sales playbook and go-to-market strategy.

Leads customer-facing applied AI engagements by understanding operational challenges, framing business problems, delivering technical demos, and building Python- and SQL-based prototypes. Supports enterprise sales cycles, evaluations, pilots, implementations, and customer deployments. Requires strong data science and machine learning knowledge, business intuition, project management, and the ability to communicate with technical and non-technical stakeholders.

Supports engineering solution design, process improvement, inspections, standards development, product and solution development, and bid proposal responses. Coordinates subcontractors and suppliers, contributes to project management, evaluates engineering outcomes, and applies technical, commercial, risk, regulatory, and safety knowledge. The role also involves requirements analysis, testing, implementation, reporting, negotiation, and ongoing professional development under the guidance of senior colleagues.

Supports engineering and sales activities by designing process and product solutions, conducting feasibility testing and inspections, preparing bids and proposals, coordinating suppliers and subcontractors, managing project schedules, and addressing technical requirements. The role also contributes to engineering standards, contract management, risk management, customer needs analysis, solution implementation, and continuous improvement while providing technical guidance and collaborating with internal and external stakeholders.

Own the firm’s workforce planning function, oversee Workday data quality, build workforce and capacity models, and analyze the effects of offshoring and automation. Partner with senior leaders to translate workforce strategy into actionable plans, define KPIs, and improve data accuracy. Lead and mentor onshore and offshore teams while identifying automation and AI opportunities. The role requires periodic travel, hybrid work after an initial fully onsite period, and a night-shift schedule.

Develop predictive and prescriptive analytics, machine learning models, and data models for semiconductor manufacturing. Analyze production, quality, process, and equipment data to improve yield, productivity, and operational efficiency. Collaborate with manufacturing engineers and stakeholders, support smart manufacturing initiatives, and communicate insights to technical and business audiences.

Leads applied AI integration across Home Lending by identifying high-value use cases, running measurable experiments, building prototypes, scaling successful solutions, and developing enablement programs. Partners with engineering, data, platform, governance, and business teams to transition validated concepts into production. Advises stakeholders on AI strategy, responsible adoption, evaluation methods, and impact metrics while coaching teams and coordinating multiple initiatives.