Top Artificial Intelligence Jobs in the Philippines

Lead QA automation efforts using Playwright and AI-assisted workflows. Design test strategies, assess risks, create and maintain automated tests, and improve testing efficiency via AI tools. Collaborate across SDLC to ensure reliability, performance, and usability for end-to-end digital solutions.

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.

Coordinate social media publishing for major entertainment brands across YouTube and other social networks. Responsibilities include scheduling, content and metadata optimization, community management, approval and platform checks, dependency tracking, client coordination, AI-assisted workflow use, research, reporting, documentation, and escalation. The role emphasizes publishing accuracy, attention to detail, process improvement, sound judgment, and critical review of AI-generated work.

Build and maintain high-performance websites, landing pages, sales funnels, and multi-step forms using modern front-end technologies and AI-assisted development tools. Implement conversion optimization, SEO, Core Web Vitals improvements, analytics and advertising tracking, CRM and automation integrations, and domain-to-production deployments. Manage multiple client projects independently in a remote agency environment while ensuring code quality, responsive design, accurate attribution, and measurable lead-generation results.

Build and maintain AI-powered automation workflows for construction technology businesses. Responsibilities include integrating APIs and business platforms, developing AI agents for document analysis and proposal generation, creating CRM and reporting automations, troubleshooting workflows, optimizing system performance, researching tools, and documenting integrations and system architecture.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Own the roadmap and delivery of AI automation products, including reliable AI agents, tool-calling workflows, n8n automation pipelines, API integrations, and React-based interfaces. Partner with sales, content, and marketing to identify opportunities, then monitor, debug, and improve shipped solutions. The role requires strong product ownership, hands-on AI and automation experience, technical range across frontend and integrations, and fluency with LLMs and agent frameworks.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

Lead the product vision and strategy for an AI sales tech product, collaborating with design and engineering teams to enhance sales processes and deliver a competitive, user-focused product.

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.

Lead and manage a frontend, backend, and full-stack engineering team building products used by millions. Own technical architecture, engineering delivery, reliability, quality, and production outcomes from concept through launch. Partner with product, design, mobile, backend, and AI teams; conduct architecture and code reviews; resolve incidents; improve processes and tooling; and coach engineers through feedback, performance management, and clear expectations. The role requires a hands-on technical leader who connects engineering decisions to customer and business outcomes.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, technical standards, production outcomes, and engineering processes. Partner with product, design, mobile, backend, and AI teams to ship scalable products. Coach engineers, manage performance, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Lead and develop a distributed engineering team building scalable customer-facing products. Own technical architecture, engineering delivery, reliability, production operations, standards, tooling, and automation across frontend, backend, APIs, databases, infrastructure, and AI integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes.

Lead technical design and execution for complex products and systems. Build scalable backend, frontend, API, database, and infrastructure solutions while remaining hands-on with coding, architecture, debugging, code reviews, and production support. Mentor engineers, improve engineering practices and tooling, manage technical risks, and drive initiatives from problem definition through reliable production delivery. Collaborate with product, design, engineering, and AI teams in a distributed global environment.

Lead the technical design and delivery of complex products and systems while remaining hands-on with coding, architecture, debugging, code reviews, and production operations. Establish engineering standards for reliability, security, testing, observability, and maintainability. Mentor engineers, make architectural trade-offs, identify technical risks, improve tooling and development practices, and collaborate with product, design, and AI teams to ship scalable products.

Lead and manage frontend, backend, and full-stack engineers building products used by millions. Own technical architecture, engineering delivery, reliability, code quality, and production outcomes. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped products. Coach engineers, manage performance, improve engineering processes, and resolve incidents while maintaining a high bar for scalability, maintainability, security, and technical excellence.

Lead technical design and execution of complex products and systems while remaining hands-on with coding, architecture, debugging, code reviews, production operations, and reliability improvements. Mentor engineers, guide technical decisions, identify risks, improve engineering practices, and collaborate with product, design, and AI teams to deliver scalable, maintainable products in a distributed global environment.

Create polished video content for social media, marketing, advertising, and digital platforms using traditional editing and AI video-generation tools. Produce AI-generated visuals, scenes, avatars, voiceovers, and other assets; combine them with footage, graphics, animation, and stock content. Add captions, transitions, music, sound effects, and motion graphics. Repurpose long-form content into short-form videos, follow creative briefs and brand guidelines, test new AI workflows, and manage multiple projects and deadlines.

Leads Johnson & Johnson’s enterprise HR AI and automation strategy across the Hire-to-Retire lifecycle. The role manages teams delivering generative AI, conversational AI, machine learning, workflow orchestration, and RPA capabilities; partners with HR, IT, product, and business leaders; establishes roadmaps and governance; drives adoption and transformation; and measures business value, employee impact, and operational outcomes.

Leads Johnson & Johnson’s enterprise HR AI and automation strategy across the Hire-to-Retire lifecycle. Defines roadmaps, governs responsible AI adoption, oversees implementation of generative AI, conversational AI, machine learning, and automation solutions, and manages cross-functional teams and executive stakeholders. Drives digital transformation, employee experience improvements, process simplification, adoption, KPI tracking, and value realization while fostering innovation and continuous learning across the HR Digital organization.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

The Engineer II will develop, maintain, and enhance RPA solutions while collaborating with teams to streamline business operations.

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

Design scalable, secure automation and AI-enabled solutions (RPA, IDP, integrations, chatbots). Produce build-ready artifacts, define architectures, ensure compliance with data governance and regulatory standards, and support delivery teams to reduce rework and accelerate value realization across transformation initiatives.

Produce production-ready AI-generated visuals and video for beauty and fashion campaigns, including packaging, product imagery and retail assets. Develop and refine prompts, collaborate with design and packaging teams, maintain prompt libraries and workflows, and ensure outputs meet brand, print and production standards.