Top Artificial Intelligence Jobs in the Philippines

As a Lead AI Architect, you will design and deliver enterprise-grade AI/ML solutions, mentor engineers, establish best practices, and ensure production-ready systems.

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.

Sutherland seeks to drive digital transformation through advanced technologies including AI, automation, and cloud engineering, enhancing business operations for clients.

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, build, and deploy multi-agent, agentic AI systems using modern LLMs and frameworks. Implement tool/API integrations, agent-to-agent communication, and reliable CI/CD pipelines while ensuring governance, security, and compliance. Collaborate with cross-functional teams on architecture, code reviews, and production-grade deployments.

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.

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.

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.

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.

Design, build, and operate AI/ML production platforms and scalable backend microservices using Python/Java. Integrate, deploy, monitor, and optimize ML models; own full development lifecycle and L3 support; drive MLOps, cloud infrastructure, CI/CD, documentation, and mentor junior engineers.

Lead AI PoC efforts across business units: identify and prioritize use cases, define scope and success metrics, coordinate execution with data/IT/vendors, validate business impact, and transition validated solutions into production with governance and stakeholder alignment.

Manage social media strategies across multiple brands, produce AI-enhanced content, engage communities, and deliver performance analytics.

Lead strategy, design, and deployment of in-house generative AI systems for marketing and content. Build and scale private LLMs, RAG pipelines, and privacy-first integrations while ensuring compliance and cross-functional adoption to improve content production efficiency and quality.

Lead strategy, development, and deployment of privacy-first, in-house generative AI tools for marketing and content. Design, fine-tune, and scale LLM and RAG systems, integrate AI into workflows, and enforce data governance and compliance across marketing, product, and engineering teams.

Lead strategy, design, and deploy secure in-house generative AI systems for marketing and creative content. Build, fine-tune, and scale private LLMs and RAG pipelines, ensure data governance and compliance for sensitive/adult content, and integrate AI tools into cross-functional workflows with marketing, product, and engineering teams.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Senior AI Engineer, you'll design and deliver scalable AI solutions, lead LLM integration, and mentor engineers while ensuring performance, reliability, and quality compliance.

Design and deploy practical AI systems for the FinTech team, write Python/SQL to extract insights, build agentic AI workflows to automate financial processes, orchestrate data and connect systems with tools like n8n, and upskill teammates on AI tools.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.

The AI Software Engineer will design, develop, and maintain AI software solutions for industrial automation, ensuring backend and frontend integration, and contributing to CI/CD processes. Collaboration with global teams and maintaining documentation is key to aligning technical solutions with business goals.

Drive end-to-end design and development of AI solutions, focusing on performance, reliability, and technical leadership in AI engineering.

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