Top Artificial Intelligence Jobs in Quezon City

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.

Lead and improve the General Education program: develop curricula, integrate workplace and digital competencies, supervise and train faculty, monitor teaching quality and student outcomes, and ensure compliance with accreditation and institutional standards to boost student workplace readiness.

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.

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.

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.

Lead and manage operations for CRS Philippines and FSM BMU including supply chain, administration, safety and security, safeguarding, audit, staff management, compliance, budgeting oversight, process improvement, and risk mitigation. Support strategic planning, workforce planning, and strengthen operational systems for quality programming and donor compliance.

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

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.

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.

Design and develop production-ready AI applications using generative models and cloud or on-prem pipelines. Collaborate with cross-functional teams, research emerging AI tech, document designs, troubleshoot issues, and deploy and monitor models for reliability and performance.

Manage end-to-end AI safety and data projects: scope, create task templates, coordinate engineers/annotators/data scientists, build automation (Python/SQL/Asana), track KPIs in Looker/Power BI/Streamlit, run QA and SOPs, maintain SOWs/RACI, and drive continuous improvement toward safe, scalable model workflows.

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.

Design, develop, and deploy production-ready AI applications using cloud or on-prem pipelines. Integrate generative AI and deep learning models, build chatbots and image-processing solutions, troubleshoot and optimize systems, lead cross-team technical decisions, mentor engineers, and recommend AI/ML best practices and emerging technologies.

The AI Solutions Architect will translate business objectives into AI strategies, design solution architectures, oversee integration into enterprise systems, ensure compliance, and maintain technical governance while staying updated on AI trends.

Manage AWS services, automate tasks using Python scripts, support AI model training and data handling, and document workflows.

Drive adoption of an AI-powered ecommerce platform by leading full sales cycles, presenting AI solutions and POCs, translating technical concepts into business value, building long-term client relationships, preparing tailored proposals, and coordinating with product and technical teams to ensure successful delivery and adoption.

The AI Marketing Generalist will design and execute AI-driven outreach, manage paid advertising strategies, and create PR campaigns while optimizing for conversion and brand authority.

This role involves designing high-volume ad creatives for marketing agencies, utilizing AI tools for efficiency, while ensuring brand consistency and effective performance marketing elements.

Part-time virtual assistant responsible for executing and publishing content across LinkedIn, Facebook, and Instagram; coordinating podcast logistics and promotions; managing newsletters and GoHighLevel marketing tasks; organizing and distributing content assets; maintaining workflows and deadlines; using AI tools (ChatGPT) to follow prompts and eventually assist with AI-assisted drafting. Emphasis on execution, organization, and ensuring consistent distribution rather than primary content creation.

Design, build, and maintain Java-based, AI-enabled backend services. Implement CI/CD, observability, and secure coding practices. Integrate LLMs, vector stores, semantic search, embeddings, and RAG. Contribute to architecture, collaborate with Product, MLOps, Data Science, and Platform teams, and deliver production-ready AI features.

Design and build scalable, low-latency backend applications and AI/ML frameworks. Integrate data pipelines, databases, and front-end components. Develop, fine-tune, and deploy LLM-based models, build APIs and services, and ensure testable, secure, and efficient Python code supporting business decision-making.

Design, build, and integrate applications using Large Language Models. Lead and mentor teams, translate requirements into technical specs, design APIs, optimize AI application performance, and apply DevOps and cloud deployment practices.