Top Artificial Intelligence Jobs in the Philippines

Perform French-language quality control reviews to ensure compliance with internal and regulatory KYC standards. Use data analytics, automation, and foundational AI techniques to analyze results, identify root causes, and recommend improvements. Develop automated solutions to streamline QC, coach team members, and collaborate cross-functionally to drive process improvements and maintain regulatory adherence.

Define, classify, and publish critical business data; ensure accuracy, accessibility, and security across the data lifecycle. Lead data product delivery to the data lake, enforce data quality and protection controls, collaborate with business and technology partners to remediate issues, and drive automation and governance improvements.

Design, prototype, and deploy production-ready machine learning and generative AI solutions and agentic workflows. Own end-to-end model delivery, data and feature engineering, evaluation, deployment, monitoring, retraining, and governance. Collaborate with product, engineering, and risk stakeholders and contribute reusable patterns and services to accelerate adoption and ensure responsible AI practices.

Perform equipment troubleshooting, maintenance, installation and commissioning to ensure stable semiconductor manufacturing operations. Improve equipment performance and yield via preventive, predictive and prescriptive maintenance, root cause analysis, and continuous improvement (Six Sigma, FMEA, SPC). Train staff, support customer complaint investigations, and adhere to quality and information security requirements.

The role involves managing product growth for Advanced Analytics & AI, driving revenue, and collaborating with various teams to deliver effective solutions in the APAC region.

As a Senior Solutions Engineer, you will collaborate with the AI Transformation team to build and maintain AI and automation solutions, integrating diverse internal tools, while modernizing systems to enhance operational efficiency.

The DWS Internal Auditor for Technology Applications will audit technology risks in IT applications, focusing on evaluating internal controls and ensuring compliance with established frameworks. The role involves conducting assessments and collaborating with audit teams globally to develop insights that improve organizational practices.

Coordinate and manage procurement processes for programs in the Philippines and FSM, ensuring compliance with CRS and donor regulations. Conduct sourcing, market assessments, vendor selection, contract administration, delivery tracking, and procurement recordkeeping to achieve timely, cost-effective, and transparent procurement outcomes.

Lead and scale a Manila-based, client-facing Data, Analytics, and AI practice across the deal lifecycle. Deliver AI/ML/GenAI solutions, manage mid-to-large analytics engagements, drive go-to-market and pre-sales, mentor junior staff, and ensure high-quality end-to-end delivery for M&A and transaction advisory work.

Startek provides tech-enabled, human-assisted customer experience (CX) solutions using AI, omnichannel orchestration, and CX analytics. They partner with global brands to analyze customer interactions, deliver CX insights, and drive digital transformation. This posting contains a company overview; specific role responsibilities were not provided.

The position offers IT technical support, focusing on aiding users with technology-related issues and ensuring seamless business operations within the company.

Develop and implement AI and machine learning strategies in healthcare, collaborate with teams, mentor engineers, and ensure code quality while driving innovative solutions.

Sutherland seeks to drive digital transformation through advanced technologies including AI, automation, and cloud engineering, enhancing business operations for clients.

Lead portfolio financial governance for Post Trade Solutions, owning planning, forecasting, variance analysis, cost allocation, and executive reporting. Act as Clarity PPM SME to ensure data quality, standardise forecasting/reporting, manage risks and milestones, and advise senior stakeholders on commercial and delivery decisions.

Lead QA automation efforts using Playwright and AI-assisted workflows. Design test strategies, assess risks, create and maintain automated tests, and improve testing efficiency via AI tools. Collaborate across SDLC to ensure reliability, performance, and usability for end-to-end digital solutions.

Build and ship native Android features for an AI-enabled neobank using Kotlin and modern Android architecture. Integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it enhances user journeys for payments, insurance, claims and financial services.

Design, build and ship Kotlin-based Android features for an AI-enabled neobank app. Integrate backend APIs, improve performance and reliability, use analytics to refine UX, and implement on-device AI where it improves user journeys.

The AI Product Manager will design monetization strategies, lead AI product development, manage performance evaluation, and ensure market positioning.

Operate and improve AI-powered conversational analytics on Snowflake: maintain semantic models, train/evaluate AI/NQL models, validate data quality, build dashboards and financial models, document data lineage and business rules, and collaborate across Data Engineering, Finance, Pricing, and Ops to deploy AI agents and analytics.

Design, deploy, and optimize AI-driven workflows and multi-agent systems to automate business processes. Identify inefficiencies, build tool-using agents, integrate AI tools (Claude, Perplexity), collaborate cross-functionally, document and iterate on scalable automations, and communicate recommendations to stakeholders.

Design, deploy, and optimize AI-driven agents and automated workflows across business functions. Identify inefficiencies, build tool-using and multi-agent systems, integrate advanced LLM tools, collaborate cross-functionally, document processes, and continuously test and refine automations to drive scalable operational efficiency.

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.

Create high-volume, AI-assisted conversion copy across full funnels—landing pages, sales pages, email sequences, VSL/webinar scripts—and product messaging. Build and maintain prompt libraries and AI workflows, run A/B copy tests, optimize hooks/headlines/CTAs, and collaborate with design, sales, and product teams to drive measurable conversion lifts.

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.

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.