Top Artificial Intelligence Jobs in the Philippines

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

Build and ship native Android features for an AI-enabled neobank using Kotlin and modern Android architecture. Integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it enhances user journeys for payments, insurance, claims and financial services.

Design, build and ship Kotlin-based Android features for an AI-enabled neobank app. Integrate backend APIs, improve performance and reliability, use analytics to refine UX, and implement on-device AI where it improves user journeys.

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.

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 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 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 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 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.

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.

Leads Data and AI success management for a commercial business unit, securing stakeholder adoption and connecting analytics initiatives to revenue, retention, profitability, and operational metrics. Directs initiatives from ideation through production and adoption, navigates technical and organizational challenges, and applies SQL, quantitative analytics, data visualization, statistical modeling, data management, warehousing, and data modeling concepts.

Design, implement, and monitor AI-driven automations and integrations using platforms like n8n/Make/Zapier. Build LLM-powered workflows (chatbots, transcription pipelines), maintain dashboards and reporting, deploy and tune models, and collaborate with stakeholders to document and optimize end-to-end systems.

Rotate across departments to identify and implement AI and automation improvements. Build proofs-of-concept, integrate tools (ChatGPT, Notion AI, n8n, Cursor), automate routine data tasks and dashboards, document improved workflows, report insights, and run internal knowledge-sharing sessions to drive digital transformation.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

The Website Developer & Designer will build, customize, and maintain websites for clients, focusing on WordPress and Webflow with an emphasis on design, SEO, and performance.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.