Top Artificial Intelligence Jobs in the Philippines

The AI Operations & Strategy Lead will manage operations and a team to optimize AI-generated visual content, focusing on efficiency and quality improvements.

As AI Operations Manager, you'll manage and grow a team of editors, utilizing data analytics to improve productivity and ensure quality in image editing.

As an AI SEO Specialist, you'll optimize content for AI-powered search platforms, conduct keyword research, craft prompts, and monitor AI search performance to improve content visibility.

Create high-converting VSLs and AI-generated UGC using AI avatars and traditional editing. Manage language-specific AI clones, localize voice/video, produce ad variations for Meta/YouTube/TikTok, and provide brand-aligned design support to scale sales of a medical recovery device.

As an AI and Automation Specialist, you will design intelligent solutions and automate processes, enhancing efficiency and decision-making. Responsibilities include developing AI solutions, building automated workflows, collaborating with stakeholders, and monitoring system performance.

As an AI Software Engineer, spearhead the development of a voice tool, engage in full lifecycle development, design APIs, and improve processes while ensuring quality and collaboration.

The Director of AI will lead Kroll's AI strategy, ensuring ethical deployment, managing a multidisciplinary team, and enhancing AI capabilities through innovative architectures and governance practices.

As a Forward Deployed Engineer, you will collaborate with customers, develop integrations and AI solutions, and optimize data flow within the platform, while also guiding technical adoption and ensuring alignment across teams.

Own the Operations product portfolio: define strategy and roadmaps, run discovery and validation with operators, produce AI-assisted mockups and prototypes, partner with engineering for delivery, and drive adoption of internal workflow, HR, resourcing, and compliance tools.

Own the PMO product portfolio for internal operations: set roadmaps, run discovery and validation, use LLMs to draft docs and prototype, partner with engineering and delivery, and drive adoption of internal apps, automations, and data products.

Lead the Finance-aligned product portfolio, partnering with FP&A and finance leaders to define strategy, run discovery, validate with AI-assisted prototypes, set roadmaps, and drive adoption of internal financial visibility tools and automations.

Lead the Finance product portfolio for internal operations tools. Use frontier LLMs to generate briefs, UX mockups, and prototypes. Run discovery with finance stakeholders, define roadmaps and requirements, partner with engineers for delivery, and drive adoption. Work with Power Platform, React, Azure, and integrations (Salesforce, Workday, D365, Workfront).

Lead the PMO-aligned product portfolio for internal operations tools: define strategy and roadmaps, run discovery and validation, prototype with AI tooling, partner with engineering for delivery, and drive adoption of workflow automations, internal apps, and operational data products.

Own the Operations product portfolio: set strategy and roadmap, run discovery and validation, produce AI-assisted mockups and prototypes, partner with delivery teams, and drive adoption of internal workflow, HR, and resourcing tools.

Design and deploy AI/ML models and automation to improve procurement analytics, integrate data from ERP and BI tools, build dashboards, lead digital projects, and drive stakeholder adoption and training.

The AI Engineer Consultant will develop and maintain ETL pipelines in Azure, design MLOPS processes, test ML models, and support infrastructure for users.

The AI Automation Engineer will design and implement AI agents to automate workflows, optimize processes, and ensure compliance while integrating with major enterprise systems.

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

Translate regulatory and policy frameworks into enforceable AI rule logic, deploy LLM-based solutions, onboard and support clients, monitor regulatory changes, conduct targeted legal research, collaborate with product teams, and contribute documentation and performance analysis to improve AI compliance capabilities.

Lead DatologyAI's technical storytelling and social presence on X by turning research into demos, threads, videos, and launches. Enable founders and researchers, run research launches end-to-end, build community relationships, run experiments and measurement, and feed community insights back into product and research.

Design, implement, and operationalize Java-based components for transaction monitoring and data controls; build cloud-native, scalable, resilient systems; contribute LLM/Agentic AI solutions and collaborate across cloud, security, data, risk, and compliance teams.

Design and build production-ready C#/.NET Revit plugins and automation tools. Automate BIM workflows, extract and transform model data, develop UI (WPF/WinForms), ensure multi-version Revit compatibility, write tests, and integrate cloud and AI-enabled BIM services while collaborating with BIM and AEC stakeholders.

Lead and execute AI-first integrated marketing strategies and campaigns to drive acquisition, retention, product launches, community growth, and conversion optimization. Use AI across research, copy, personalization, automation, analytics, and reporting. Collaborate cross-functionally to build funnels, scale education and partnerships, run webinars and evergreen campaigns, and continuously experiment to improve ROI and customer journeys.

Lead design and scaling of AI-first operational systems across the company. Improve processes, documentation, reporting, automation, and cross-functional execution while partnering with executive leadership to increase efficiency, KPI visibility, and AI adoption.

Manage end-to-end global recruitment using AI to source, screen, interview, and onboard candidates. Maintain ATS workflows, recruitment documentation, KPIs, and interview coordination. Partner with leadership to improve hiring quality, reduce time-to-hire, enhance candidate experience, and build scalable, AI-first people operations and SOPs.