Top Artificial Intelligence Jobs in the Philippines

Designs, prototypes, implements, and optimizes enterprise AI and customer experience solutions for strategic Asia-Pacific customers. Leads AI transformation roadmaps, reference architectures, integrations, process-redesign workshops, governance, responsible AI practices, and KPI measurement. Partners with executive stakeholders, Customer Success, Professional Services, and technology teams to operationalize Genesys AI solutions, mentor teams, and develop reusable accelerators.

Build and maintain responsive websites and landing pages using website builders, CMSs, and low-code platforms. Configure CRM workflows, forms, integrations, email systems, and digital marketing accounts. Troubleshoot HTML, CSS, JavaScript, APIs, webhooks, and workflow issues; test across browsers and devices; document changes; and support supervised AI automation projects while protecting client data and following release procedures.

Designs and maintains scalable microservices, APIs, GenAI pipelines, MCP servers, and ML models for enterprise AI capabilities. Integrates LLMs from multiple providers, builds agentic workflows, and develops evaluation and retraining processes. The role also ensures AI workloads meet security, reliability, scalability, and performance standards in AWS and Kubernetes environments, while collaborating with platform, ML engineering, and data science teams.

Provides full-time remote executive and administrative support to U.S.-based healthcare practice owners. Manages calendars, inboxes, tasks, projects, meetings, reporting, presentations, patient follow-up, vendors, invoices, SOPs, and compliance reminders. Uses Claude to draft communications, summaries, agendas, and reports while reviewing all outputs for accuracy, judgment, brand voice, HIPAA compliance, and confidentiality. Coordinates across owners, staff, patients, and vendors while maintaining reliable follow-through.

Supports healthcare practice owners remotely by managing calendars, inboxes, tasks, projects, meetings, reporting, patient follow-up, vendors, invoices, and administrative workflows. Uses Claude to draft communications, summaries, agendas, and presentations while reviewing all outputs for accuracy, judgment, confidentiality, and HIPAA compliance. Maintains task trackers, SOPs, brand voice files, and daily and weekly reporting.

Owns a fleet of automated social accounts with account growth as the primary objective. Builds and integrates AI-powered editing, clipping, distribution, and workflow automation systems. Develops scalable content production processes, scripts, hooks, and short-form formats; tracks performance through dashboards; runs structured experiments; and documents repeatable SOPs. Collaborates with BizOps and Media teams to improve tooling, production quality, output volume, and operational efficiency.

Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, RAG systems, model evaluations, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, reliability, and cost. Deploy secure enterprise solutions on AWS, implement monitoring and guardrails, translate client requirements into model strategies, and contribute production-quality code, design reviews, and reusable engineering practices.

Owns the design, development, deployment, monitoring, and troubleshooting of production data pipelines. Builds Python integrations, consolidates data in PostgreSQL on GCP or AWS, supports document-processing and LLM systems, develops secure APIs, and maintains privacy and access controls for sensitive financial data.

Leads the strategy, development, and delivery of AI, machine learning, and generative AI solutions across healthcare domains. Responsibilities include designing scalable software, integrating LLMs and agentic AI, maintaining code quality and production operations, collaborating with stakeholders, mentoring engineers, and leading AI/ML teams. The role requires expertise in modern ML frameworks, cloud platforms, DevOps, CI/CD, NLP, model evaluation, prompt engineering, and production-grade AI applications.

Join a Philippines-based contributor network supporting AI development through text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects are flexible and remote, varying from several days to weeks. Contributors receive project details and compensation information before deciding whether to participate.

Join Welo Data’s remote Tagalog contributor network for future AI data projects. Work may include annotating text, images, or audio; evaluating search results, ads, or chatbot responses; creating prompts; and checking cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Supports finance transformation and operational excellence initiatives through process improvement, automation, data analysis, documentation, stakeholder management, governance, and change management. Applies Lean, Six Sigma, DMAIC, PDCA, Design Thinking, BPMN, AI, Power BI, Power Automate, and Alteryx to improve efficiency, accuracy, productivity, timeliness, controls, and costs. Advises operations leaders, tracks project benefits, and promotes continuous improvement across Global Business Services.

Own the end-to-end architecture, development, deployment, and iteration of AI-native client systems. Build production applications with Node.js, Python, React, and TypeScript; deploy on Azure; create CI/CD pipelines; and develop agentic systems using LLM tool-use, MCP, and agent runtimes. Translate ambiguous business problems into scalable technical solutions, collaborate directly with the founder, challenge assumptions, and document implementations.

Analyzes structured and unstructured data, develops and deploys predictive and machine learning models, designs experiments, creates dashboards, ensures data quality, and communicates insights to technical and business stakeholders. Senior-level candidates may lead analytical initiatives, mentor junior staff, and influence strategic decisions.

Lead ecommerce retouching for still-life and on-figure fashion imagery, ensuring color accuracy, product integrity, and premium brand standards. Guide two retouchers, review offshore partner work, and collaborate with photographers, art directors, and content operations. Develop AI imaging prompts, evaluate generated outputs, identify appropriate AI use cases, and help create scalable workflows combining automation, offshore production, and internal editing.

Design and deliver secure, scalable AI solutions for clients, from discovery and architecture through implementation, governance, adoption, monitoring, and optimization. Lead workshops, identify use cases, guide proofs of concept, integrate AI with enterprise systems and workflows, and provide technical leadership. Translate business needs into production-ready architectures while ensuring responsible AI, quality, security, and measurable business outcomes.

Build and deploy AI agents and process automation solutions using Microsoft Copilot Studio and Power Platform. Develop prompts, conversation flows, integrations, and knowledge-grounding approaches; support testing, deployment, monitoring, troubleshooting, and optimization. Collaborate with stakeholders to translate business requirements into practical solutions, create reusable components, and promote responsible AI adoption.

Designs, develops, and deploys AI agents and process automation solutions using Microsoft Copilot Studio and the Microsoft ecosystem. Translates business needs into scalable solutions, develops integrations, designs prompting and knowledge-retrieval approaches, and supports testing, deployment, monitoring, and continuous improvement. Collaborates with stakeholders, promotes responsible AI adoption, contributes reusable solution standards, and evaluates emerging AI capabilities.

Provides senior-level technical support and escalation management for AI-enabled and enterprise applications. Troubleshoots authentication, authorization, integrations, APIs, data retrieval, user interfaces, AI response quality, prompt execution, and MCP-related issues. Performs root cause analysis, coordinates cross-functional resolutions, manages incidents within SLAs, supports customers and internal users, creates knowledge documentation, contributes to AI adoption and operational improvements, and mentors support colleagues.

Partner with cross-functional business stakeholders to identify workflow pain points and redesign processes using AI-native applications and autonomous agents. Build and deploy AI solutions integrated with Salesforce, NetSuite, and Workday, while translating business needs into intuitive technology experiences. The role requires strong business acumen, LLM prompting proficiency, foundational agent-development knowledge, systems fluency, clear communication, and comfort working through ambiguity.

Build and deploy AI agents for managed service providers by discovering automation opportunities, documenting processes, integrating client data securely, conducting shadow reviews, and training client teams. The role requires MSP operations knowledge, code literacy, prior automation experience, comfort with ambiguity, and confident client communication.

Designs and manages AI-powered workflows, administrative automations, SOPs, reminders, reporting systems, and process controls. The role identifies inefficiencies, builds reliable systems using AI and automation platforms, documents processes, monitors recurring operations, closes follow-up loops, trains team members, and partners with the Admin Manager to improve administrative performance and accountability.

Build and deploy production software powered by AI, LLMs, agentic architectures, and intelligent automation. Develop scalable services, APIs, workflows, copilots, RAG systems, and decision-support platforms using React, Node.js, TypeScript, and Python. Operationalize statistical and AI models, evaluate foundation models, optimize performance and cost, monitor production systems, and collaborate with technical and business teams to deliver maintainable solutions.

Lead product direction and execution for major areas of KIRA’s AI-powered financial app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide product managers, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations.

Designs and maintains enterprise full-stack applications using Azure, .NET, and Node.js. Integrates Azure AI and machine learning services, develops databases, pipelines, and APIs, and implements CI/CD, testing, DevOps, security, and compliance practices. Collaborates on technical solutions, participates in design and code reviews, troubleshoots production issues, and provides Level 3 application support.