Top Artificial Intelligence Jobs in the Philippines

Design and deliver complex AI-powered automation systems using n8n, Make.com, CRM integrations, APIs, custom code, and RAG architectures. Build AI agents, workflows, integrations, and business applications with JavaScript, TypeScript, and/or Python. Own projects from requirements and architecture through deployment, troubleshooting, optimization, and documentation while ensuring secure, scalable, maintainable solutions.

Designs, tests, and optimizes prompts for AI tools; creates and edits marketing content; develops reusable prompt frameworks; ensures outputs match brand and business goals; fact-checks AI-generated content; collaborates with marketing, sales, and operations; and monitors AI trends, performance, limitations, and ethical considerations.

Designs, builds, and optimizes AI-powered automation workflows across business processes. Integrates CRM systems, APIs, and automation platforms; develops chatbots, AI assistants, and prompt systems; identifies repetitive tasks; monitors performance; troubleshoots errors; and collaborates with marketing, operations, and technology teams to improve efficiency.

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.

Own B2B sales for an AI consultancy, including cold outreach, warm-lead follow-up, qualification, requirements discovery, proposal support, deal progression, and CRM pipeline tracking. Partner with the founder and technical team to close bespoke AI consulting engagements. Improve sales processes and lead generation while working toward outcome-based KPIs.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Embed with customers to understand operational needs, design AI solutions, own implementation from strategy through deployment, develop evaluation suites, and improve reusable industry blueprints. Advise senior stakeholders, contribute to pre-sales, and help shape AI delivery tooling and frameworks using Claude, AWS, Python, and TypeScript.

Edits and fact-checks AI-generated SEO content for Study.com’s College Saver and Test Prep products. Optimizes articles for traditional search and AI citation readiness using AEO, GEO, search intent, metadata, internal linking, structured content, and readability practices. Verifies product and educational claims, updates outdated information, maintains editorial standards, audits published content, identifies recurring AI-draft issues, and manages multiple deadlines within an editorial workflow.

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.

Creates and publishes marketplace content for Amazon, Walmart, Wayfair, and other e-commerce platforms. Develops storyboards, product imagery, infographics, videos, A+ Content, Brand Story modules, and AI-assisted visuals while maintaining product accuracy and brand consistency. Manages 3D visualization and Amazon AR publishing workflows, performs quality assurance, verifies live listings, and coordinates assets, approvals, and deadlines using Microsoft 365. Requires independent research, strong English communication, Adobe Photoshop proficiency, marketplace publishing experience, and at least five years of relevant experience.

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.

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.

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.

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.

Designs, tests, debugs, and optimizes prompts and AI extraction patterns for large language models. Supports AI extraction onboarding, validates model performance, documents configuration fixes, and provides tuning recommendations. Maintains and troubleshoots RPA workflows affected by AI integrations, collaborating with automation engineers. Produces error logs, onboarding reports, optimization packages, and RPA support summaries.

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.

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.