Top Artificial Intelligence Jobs in the Philippines

Lead end-to-end delivery of AI-enabled products as a hands-on Technical Project Manager and business analyst: scope, schedule, documentation, UAT, governance, KPI tracking, and automation to accelerate engineering throughput and stakeholder alignment.

Convert raw workshops, interviews and long-form video into high-volume micro-content, sizzles, courses and high-converting landing/funnel pages using AI tools. Manage asset libraries, QA, reporting, CRM integrations and rapid revisions to meet SLAs.

Design high-converting email templates and marketing assets in Go High Level, maintain modular visual systems for web, social, ads and funnels, run A/B tests, package specs for hand-off, and introduce AI tooling to accelerate workflows while ensuring accessibility and performance.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Build, optimize, and scale high-converting sales funnels using GoHighLevel and AI tools. Implement A/B tests, conversion optimization, retargeting campaigns across major ad platforms, ensure tracking and integrations, write conversion-focused copy, and deliver measurable improvements in conversion rate, ROAS, and revenue.

Design and deploy AI-driven sales workflows that automate lead generation, qualification, outreach, and CRM orchestration. Integrate HubSpot, RingCentral, and middleware (n8n/Make/Zapier), build LLM-based agents and forecasting models, and document scalable playbooks to double lead handling without headcount increases.

Produce high-quality AI-generated videos, facial clones, lip-synced content, avatars, animations and motion graphics for marketing. Optimize AI-driven workflows, collaborate with stakeholders, and iterate based on performance metrics.

Design, build, deploy, and optimize scalable AI-powered automations across sales, recruiting, and client success. Deliver 10-15 high-impact automations monthly, own the workflow lifecycle, monitor performance, and drive adoption while ensuring reliability, cost-efficiency, and documentation.

The Senior Product Designer will lead product design processes, create user-centric designs, and integrate AI into the design workflow while collaborating across teams.

The role involves evaluating AI-generated outputs, reviewing and correcting text, and analyzing multimedia content with a focus on cultural context and accuracy.

The role involves evaluating and annotating AI-generated outputs, providing culturally relevant feedback, and ensuring content quality in various media forms.

The AI Engineer will design, develop, and deploy AI solutions, collaborate with stakeholders, and maintain AI applications ensuring performance and scalability.

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

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.

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

The Full Stack Developer (AI Tools) will maintain and enhance web applications, design and build new ones, and leverage AI and low-code tools to improve workflows while collaborating with stakeholders.

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

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

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

Lead technical architecture for AI systems, mentor engineers, design orchestration for client implementations, and oversee coding standards.

The Senior Java Engineer is responsible for designing, developing, and maintaining complex Java applications, collaborating with teams, and ensuring quality performance. They will work with both backend and frontend technologies and optimize applications using modern deployment techniques and CI/CD pipelines.

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

Design and build scalable AI-driven automation using n8n, Zapier, Make, and Supabase; integrate APIs, handle auth/webhooks, create prompt playbooks, automate reporting, document workflows for developer handoff, and run pilots to improve marketing and ops efficiency.

Design and develop instructor-led and e-learning programs, including AI-powered simulations and interactive content. Partner with stakeholders and SMEs, manage projects from concept to deployment, build multimedia assets using authoring tools, and support LMS content deployment and continuous improvement.