Top Artificial Intelligence Jobs in the Philippines

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.

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.

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.

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.

Use AI-augmented workflows to create marketing campaigns, websites, videos, social content, presentations, and digital assets. Maintain brand quality, prototype and iterate with emerging AI tools, collaborate across teams, and manage multiple projects to improve engagement, conversions, and creative systems.

Partner with executives to identify, prioritize, and implement AI opportunities across the organization. Develop AI roadmaps, evaluate technologies and vendors, redesign workflows, increase automation maturity, measure outcomes, establish AI governance, and drive business transformation to improve customer experience, productivity, and decision-making.

Lead multiple concurrent HealthTech, AI education, and eMarketing projects from planning through delivery. Build timelines, manage risks, coordinate cross-functional teams, run event and promotions calendars, optimize workflows using AI, maintain communication and documentation, and drive continuous operational improvement to ensure high-quality launches and stakeholder alignment.

Own the full sales lifecycle for AI-powered products: prospecting, discovery, proposals, negotiation, closing, onboarding, and account growth. Maintain CRM, track pipeline and forecasts, collaborate with marketing/product/operations, and use AI tools to improve productivity and customer outcomes.

Design, build, and deploy AI-powered automation workflows using LLM APIs and workflow tools (n8n, Zapier, Go High Level). Integrate APIs/webhooks, debug and optimize workflows, and evolve internal scalable AI infrastructure. Collaborate with operations to gather requirements and iterate, while researching new AI tools and improving system reliability.

Design, develop, and deploy AI-powered automation systems using Claude Code and n8n. Build scalable workflows and pipelines, prototype with the CTO, troubleshoot and optimize automations, document processes, and work directly with clients to gather requirements and recommend solutions that improve operational efficiency.

Design, build, and scale AI-driven automation and CRM systems using GoHighLevel and tools like n8n/Make/Zapier. Integrate platforms via APIs and webhooks, create multi-step workflows for lead gen, sales, and operations, maintain internal infrastructure, troubleshoot deployments, and produce SOPs and client-facing documentation.

Perform outbound prospecting (calls, email, LinkedIn) to identify and qualify B2B AI SaaS leads, book meetings for AEs, maintain CRM, meet KPIs, and collaborate with sales and marketing to optimize outreach.

Build and maintain Python/FastAPI backend services and APIs, implement React frontend components, integrate MongoDB and AWS, collaborate via GitHub, participate in agile sprint planning, and work with AI and product teams to improve scalability and reliability.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Outbound-focused SDR role selling AI SaaS: prospect via calls, email, and LinkedIn; qualify leads, engage decision-makers, book demos for AEs; maintain CRM records and meet monthly KPIs while collaborating with marketing and sales.

Lead high-volume outbound prospecting, run discovery calls, qualify and manage high-ticket opportunities through the full sales cycle, book and conduct meetings, handle objections, collaborate with founders/sales leadership, and consistently meet outreach, meeting, and revenue KPIs.

Provide high-level administrative and operational support to the Business Operations Lead: manage inboxes and calendars, schedule travel, set meeting agendas, coordinate projects and third-parties, oversee timelines/budgets, create SOPs/knowledge bases, track expenses/invoicing, and perform ad hoc tasks. Maintain confidentiality and proactively optimize executive time while being available during extended US Pacific Time hours.

Lead design and delivery of analytics, automation, and AI-enabled data solutions to improve operational efficiency across Asia Pacific. Build data pipelines, models, dashboards, desktop apps and Excel add-ins; advise stakeholders, manage projects, establish standards, and coach junior team members.

Support AI training and evaluation projects by reviewing AI-generated outputs, providing feedback, and ensuring high-quality results through cultural context and detailed guidelines.

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.

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

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

Review and label English-language content for sentiment, factual accuracy, and reasoning. Evaluate model outputs using scoring frameworks, validate automated assessments, and identify discrepancies or errors, applying consistent annotation standards and written justifications.