Top Artificial Intelligence Jobs in Quezon City

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.

Build pipeline and prospect into AI-native and digital-native accounts; qualify early-stage interest with technical buyers; convert and close smaller fast-moving deals end-to-end; maintain pipeline hygiene and activity tracking; operate on EMEA hours from Manila and use evolving AI-driven GTM tools to surface and act on product signals.

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 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.

Sales Engineer supporting commercial efforts by combining technical expertise in industrial automation, test & measurement, digital twin, AI, and industrial cybersecurity to engage customers, demonstrate solutions, and enable sales across energy transition and related industries.

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.

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

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.

Lead multiple content protection teams to ensure accurate, timely, and compliant processing of copyright infringement and legal claims. Drive SLA, quality, AHT, productivity, compliance, workforce planning, risk management, continuous improvement, automation/AI adoption, and stakeholder collaboration with Legal, WFM, Quality, Training, and HR.

Lead and deliver operational excellence and transformation projects for finance functions using OE frameworks (Lean/Six Sigma, DMAIC), process redesign, automation (Alteryx, Power Automate, UiPath), BI (Power BI), stakeholder management, benefits tracking and change management to improve efficiency, accuracy, cost, and customer satisfaction.

Design and develop interactive, modular e-learning content for bancassurance and agency channels. Produce multimedia (video, simulations, graphics), apply instructional design and gamification, manage end-to-end module lifecycle, monitor learner engagement, and collaborate with SMEs, Compliance, and peers to ensure quality and timely delivery.

Design and develop learner-centric e-learning modules end-to-end: storyboarding, scripting, multimedia production, gamification, assessments, and deployment. Collaborate with SMEs, Compliance, and business leads, manage timelines, monitor content engagement, and support cross-project handoffs to ensure scalable, compliant digital learning for distribution channels.

Lead PMO activities for Post Trade Solutions, providing portfolio governance, financial oversight, reporting, and delivery assurance. Maintain Clarity PPM data, produce executive governance packs/dashboards, support budgeting/forecasting and month-end processes, manage RAID registers, monitor milestones and dependencies, and drive PMO process improvements. Engage senior stakeholders, ensure compliance with governance standards, and enable decision-making through accurate portfolio insights and financial controls.

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.

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 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.

The Data and AI Success Manager will drive the adoption and implementation of Data and AI solutions, guide customers, and collaborate with teams to enhance business value through data-driven insights and strategies while ensuring compliance with data regulations.

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.

Rotate across departments to identify and implement AI and automation improvements. Build proofs-of-concept, integrate tools (ChatGPT, Notion AI, n8n, Cursor), automate routine data tasks and dashboards, document improved workflows, report insights, and run internal knowledge-sharing sessions to drive digital transformation.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

Build and ship AI-powered automation and full-stack features for fulfillment center operations, including dashboards, agentic workflows, multimodal processing, and integrations. Partner with operations to prioritize, deploy, and maintain solutions with observability, guardrails, and adoption support.

Design, document, test, and roll out AI-assisted workflows using Microsoft 365 and Copilot tools. Build SOPs, prompts, and training materials; organize knowledge in SharePoint/Dataverse; collaborate with leadership and external partners; support accounting and project workflows and train staff. Identify automation opportunities and provide ongoing maintenance and improvements.

Operationalize data and AI governance frameworks, implement data quality monitoring, perform root cause analysis, support AI risk/bias assessments, maintain model inventory, advise stakeholders, drive training and continuous improvement for data integrity.

Design, build, and ship AI-powered customer features across backend, frontend, and AI systems. Implement RAG pipelines, multi-agent workflows, integrate LLMs and vector DBs, own APIs/data pipelines, and ensure reliability, performance, and usability while collaborating with product and design.