Top Artificial Intelligence Jobs in the Philippines

The role involves watching short video clips and providing engaging, detailed descriptions to enhance content accessibility and optimization.

Seeking a proactive Virtual Assistant for LinkedIn content creation, social media management, graphic design, and light administrative support in the Web3 and fintech sectors.

Design and implement AI-powered workflows and automation systems while collaborating with teams to improve operational efficiency and decision-making.

The VP of Innovation Product Management will lead the iTonics platform, drive strategy, manage stakeholders, and oversee a team, ensuring effective solution design and delivery.

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.

The role involves creating SEO-optimized content using AI tools like ChatGPT, producing conversion-focused copy, and meeting high-volume writing goals while ensuring quality and brand alignment.

The AI Automation Lead will design and implement AI-driven automation solutions within finance, leveraging Microsoft Power Platform and ensuring compliance with AI governance.

The AI Engineer will develop and deploy AI/ML solutions to enhance financial operations and improve decision-making, working with finance stakeholders and engineering teams.

The AI Solutions Architect will translate business objectives into AI strategies, design solution architectures, oversee integration into enterprise systems, ensure compliance, and maintain technical governance while staying updated on AI trends.

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

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.

This role is responsible for processing trades, corporate actions, and reconciliations, ensuring accurate data integrity and supporting investment operations through various analytical tools and process improvements.

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.

The AI Product Manager will design monetization strategies, lead AI product development, manage performance evaluation, and ensure market positioning.

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.

The AI Marketing Generalist will design and execute AI-driven outreach, manage paid advertising strategies, and create PR campaigns while optimizing for conversion and brand authority.

This role involves designing high-volume ad creatives for marketing agencies, utilizing AI tools for efficiency, while ensuring brand consistency and effective performance marketing elements.

Manage AWS services, automate tasks using Python scripts, support AI model training and data handling, and document workflows.

The Operational Excellence Consultant leads process improvements and operational transformation initiatives, providing analytical support, technical training, and project management expertise within the insurance industry.

The AI Engineer will design, develop, and deploy AI solutions, focusing on ML models, AI agents, and implementing MLOps within the Azure and Google environments.

The Director of Operational Excellence leads transformational initiatives in Asia Ops, ensuring efficiency and performance improvements through data-driven decisions and process optimization.

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 Operations Specialist builds and scales AI-driven workflows, optimizes accounting processes, and trains teams on AI tools in a fast-growing organization.

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

The Automation & AI Systems Specialist will analyze, optimize, and automate workflows for a painting business, implementing AI where beneficial and streamlining operations for efficiency and scalability.