Top Artificial Intelligence Jobs in the Philippines

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.

Design, build, test, document, deploy, and improve AI-first business automations across CRM, HR, Sales, Marketing, Customer Success, and Operations using no-code/low-code platforms, APIs, webhooks, and AI agents to increase efficiency, accuracy, scalability, and user experience.

Lead UX and UI strategy for AI-first products across web and mobile. Own end-to-end design lifecycle: research, wireframes, prototypes, testing, high-fidelity design, developer handoff, and post-launch optimization. Use AI tools to accelerate research, ideation, prototyping, accessibility reviews, and design systems. Partner with Product, Engineering, AI, Marketing, and Leadership to improve adoption, engagement, retention, and accessibility while raising design standards and shaping product strategy.

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.

Design and build AI-first mobile apps using FlutterFlow: create user flows, wireframes, interactive prototypes, and production-ready builds. Integrate REST APIs, auth, state management, caching, and custom code; maintain reusable components and scalable design systems. Leverage AI tools across research, ideation, UI generation, testing, and documentation. Collaborate cross-functionally to iterate, optimize usability and accessibility, and deliver polished production-quality mobile experiences.

Lead visual design across product, marketing, education, and business assets using strategic systems thinking and AI-assisted tools. Create brand identity, presentations, reports, landing pages, social assets, and production-ready collateral while ensuring consistency, quality, accessibility, and cross-functional collaboration to improve user understanding and engagement.

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, test, deploy, and optimize advanced GoHighLevel CRM systems, funnels, websites, automations, and AI-powered customer journeys. Collaborate cross-functionally to improve lead routing, sales pipelines, campaign delivery, reporting, and documentation while continuously using AI to enhance workflows, QA, troubleshooting, and system scalability.

Write conversion-focused copy across websites, landing pages, email, ads, product launches, and educational content using AI-assisted workflows. Improve headlines, CTAs, readability, customer messaging, and conversion rates. Collaborate cross-functionally, analyze performance, refine brand voice, and continuously optimize AI-driven content processes.

Coordinate end-to-end digital and live events, manage registrations and speakers, support email and social campaigns, improve attendee experience and community engagement, and leverage AI to optimize planning, content, reporting, and workflows across cross-functional teams.

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.

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, build, and optimize GoHighLevel automations and AI-driven workflows across client accounts. Rigorously test automations, document SOPs, manage multiple projects, collaborate with teams and clients, and improve systems for scalability, efficiency, and performance.

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.

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.

Lead design and implementation of scalable automation systems and integrations using GoHighLevel and tools like n8n/Make/Zapier. Build workflows for lead generation, nurturing, content creation, and sales pipelines; integrate CRMs with email, calendars, payments, and project tools. Maintain documentation (SOPs), advise clients, provide technical support, and own internal automation infrastructure to ensure reliability, scalability, and clear communication with non-technical stakeholders.

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.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Design, build, and maintain AI-driven automations and lightweight internal tools using Make.com, LLMs, APIs, and basic code. Integrate platform data (Shopify, Google Ads, Meta, Looker Studio), document systems, train staff, and research emerging AI tools to boost team efficiency and scale operations.

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.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.