Top Artificial Intelligence Jobs in Quezon City

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

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.

Join Atlassian as an Inside Sales Account Executive, focusing on AI and Digital Native companies, building pipeline, engaging with technical buyers, and closing smaller deals primarily within US time zones from Manila.

The Research Analyst will handle content onboarding, client requests through RPDs, perform QA checks, and utilize analytical and problem-solving skills within the finance industry.

Support PASD IT Systems Governance by ensuring application compliance, managing application health via CREQ/Jira, onboarding new applications, maintaining validation and audit readiness (GAMP5/21 CFR Part 11), collecting governance data, driving SOP‑led process improvements, providing training, and acting as Application Manager when needed.

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

Design, build, deploy and maintain analytics and AI products (forecasting, segmentation, optimization, classification). Lead ML experimentation (LLMs, RL), integrate AI into dashboards, champion Responsible AI, monitor model performance and drift, collaborate with global cross-functional teams, manage vendors and SLAs, and support production analytics operations and enhancements.

Create, maintain, and structure internal knowledge in Confluence to support GTM teams and AI tools. Produce accurate, standardized documentation, use AI platforms to draft and improve content, support training materials, manage multiple tasks, and contribute to AI tooling and scaled workflows to improve knowledge access and consistency.

Lead AI-first B2B marketing strategy and execution across content, digital advertising, automation, and analytics. Own HubSpot operations, build AI-powered workflows and agents, optimize demand generation, reporting, and cross-functional alignment to drive brand awareness, lead quality, and revenue growth.

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 and deliver production-ready AI systems using cloud and on-prem pipelines. Apply generative AI and deep learning models for chatbots, image processing, and other solutions. Lead and mentor teams, coordinate cross-functional efforts, and ensure timely, high-quality AI deployments.

Intern will build log ingestion and enrichment pipelines, implement pattern/anomaly detection, design agent‑assist outputs and post‑call summaries, assess privacy/security controls, define evaluation metrics, and present findings to stakeholders while collaborating with engineers.

Intern will develop AI-driven automation and DevOps tooling: environment provisioning scripts and CI/CD hooks, IaC modules, test automation, NLP-based requirement evaluation, triage classifiers, and dashboards to optimize release readiness.

Lead design, build, and deploy AI-driven automation and AI agents to transform finance operations. Partner with finance teams to redesign processes, improve reporting, enhance data governance, and drive adoption through change management, training, and ongoing capability building.

Design, build, and maintain automation workflows and AI applications for clients. Collaborate with teams to ensure project success and quality implementation.

As an AI SEO Specialist, you'll optimize content for AI-powered search platforms, conduct keyword research, craft prompts, and monitor AI search performance to improve content visibility.

The Senior AI Operations & Automation Manager will design and maintain automation workflows, analyze business processes, and build AI-powered agents for operational efficiency across multiple portfolio companies.

The role involves designing and maintaining automation workflows, analyzing processes to eliminate inefficiencies, building AI agents, and consulting strategically on operational initiatives.

As an AI and Automation Specialist, you will design intelligent solutions and automate processes, enhancing efficiency and decision-making. Responsibilities include developing AI solutions, building automated workflows, collaborating with stakeholders, and monitoring system performance.

Design, build, and maintain automation workflows while implementing AI technologies for client and internal applications in a fully remote setting.

Partner with PMO and delivery leaders to assess and standardize PMO tools, processes, and reporting. Use AI tools to analyze project tracking, document requirements, support tool evaluations and rollouts, and drive adoption and process improvements across teams.

Partner with PMO and operations to centralize and standardize project management. Assess tools and processes, use AI to analyze project tracking, document requirements, support tool rollouts, and drive adoption across teams.

Build and scale AI-driven short-form video pipelines for B2B client acquisition. Create and manage high-fidelity AI avatars/clones, optimize Google Veo 3 workflows, integrate video assets with marketing automation, execute end-to-end production blending AI and real footage, enforce quality control, write SOPs, and provide clear visual feedback to ensure consistent, high-impact content delivery.

Perform receipting, cash application and accounts receivable/credit control tasks including customer account maintenance, collections support, data entry, report extraction, and responding to customer inquiries while ensuring compliance with company policies and deadlines.