Top Artificial Intelligence Jobs in the Philippines

Design and deploy GenAI solutions, create prompts for LLM outputs, manage MLOps pipelines, and ensure responsible AI practices.

The AI-Driven Operations Assistant manages automations and workflows, maintains data accuracy, and supports operational tasks within a marketing agency.

Oversee data annotation projects to ensure quality and timely delivery while managing operational metrics and leading a distributed team. Collaborate with clients and internal teams to optimize workflows and maintain clear documentation.

Lead enterprise architecture across AI, LLM, cloud, data, and distributed platforms. Define reference architectures, standards, and roadmaps; design scalable, secure LLM/AI platforms (RAG, vector DBs), MLOps, and cloud-native infrastructure; drive governance, observability, cost optimization, and mentor technical leaders while aligning global engineering teams.

As an AI Operations Specialist, you will manage automation requests, develop analytics dashboards, support AI adoption, and enhance operational processes.

The AI Data Operations Analyst will manage AI-human review processes, validate AI data, support manual uploads, and build automation workflows to optimize operations and reporting.

The AI Python Full Stack Engineer will lead a team to develop engineering solutions, ensuring reliability and maintainability while collaborating on design and architecture.

The role involves reviewing and evaluating content for alignment with guidelines, ensuring consistency and quality in annotations for AI training data.

Design, build, and optimize user-facing applications that integrate AI-powered features. Collaborate with back-end teams and implement AI-driven functionalities.

The Back-End Developer will design, build, and maintain AI-driven server-side applications, integrating AI/ML models and collaborating with teams to optimize performance and ensure data security.

The Full Stack Developer will design and implement web applications, integrating AI/ML models, collaborating with teams, and ensuring application performance and security.

Responsible for conducting privacy assessments, implementing data privacy policies, developing privacy-enhancing technologies, and championing privacy and AI best practices.

The AI Specialist builds and tests AI prototypes, experiments with emerging tools, conducts evaluations, and collaborates to transition prototypes into scalable models while documenting insights and technical findings.

Design and develop AI solutions using advanced analytics and cloud technology while conducting market research for AI products and collaborating across teams.

The AI Architect collaborates with stakeholders on AI initiatives, evaluates emerging technologies, and leads architectural reviews to ensure compliance and scalability.

Develop and edit videos and digital content using AI tools, build landing pages, package courses, and maintain production operations and reporting.

The AI Citizen Development Lead will design and implement AI-driven automation solutions, working closely with business teams to optimize operations and ensure compliance with security standards.

The Lead AI Engineer leads technical teams to develop AI-driven solutions, ensuring software quality and guiding innovation projects throughout the development lifecycle.

The AI Engineer will design and automate business processes using n8n, manage workflows, and collaborate with teams on technical requirements and solutions.

Design and deploy practical AI systems and agentic workflows to automate fintech processes; write Python/SQL to extract insights; orchestrate data and workflows (n8n); own projects and upskill teammates on AI tooling.

Support the sales team by triaging demo and lead inquiries, maintaining CRM records and templates, creating sales resources, assisting prospecting and closing tasks, handling occasional client communications, and identifying process improvements to improve efficiency.

Build and productionize agentic AI workflows for enterprise accounting. Design prompts, evaluations, and model interfaces; integrate AI into product and infrastructure; ensure reliability and scalability of AI-driven financial systems.

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.

The role involves building workflows and dashboards, developing RAG systems, and scripting in Python or JavaScript while utilizing AI tools for rapid development.

Design and build AI-enabled backend services and scalable microservices in Python/Java. Integrate, productionize and monitor ML models, own the full development lifecycle and L3 support, collaborate with Data Science, standardize MLOps pipelines, and mentor junior engineers.