Top Artificial Intelligence Jobs in Caloocan

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.

Generate outbound pipeline and close smaller, fast-moving AI-native and digital-native accounts across APAC. Prospect net-new accounts, qualify early interest with technical buyers, own small deals end-to-end, and use AI-driven signals and tools to prioritize and accelerate selling. Maintain high-volume activity, accurate pipeline hygiene, and collaborate with global and APAC teams.

Design, build, and deploy production-grade LLM-powered applications and agent systems; implement RAG, integrate with cloud services and data stores; apply secure-by-design practices, testing, monitoring, and observability; partner with product, data, engineering, and governance to deliver measurable outcomes.

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.

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 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.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

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.

Lead discovery and optimisation of business workflows, design and deliver end-to-end LLM/agent-based automation, implement AI-powered integrations using code and low-code tools, promote AI adoption via mentoring and governance, and ensure solutions meet security, privacy, and SDLC standards.

Provide direct executive support to the founder while designing, building, and maintaining AI agents and automations. Handle day-to-day operations, bookkeeping coordination, legal/compliance research, calendar and inbox management, documentation, and cross-functional coordination to reduce manual work and improve founder productivity.

The AI Architect collaborates with stakeholders on AI initiatives, evaluates emerging technologies, and leads architectural reviews to ensure compliance and scalability.

The AI Specialist builds and tests AI prototypes, experiments with emerging tools, conducts evaluations, and collaborates to transition prototypes into scalable models while documenting insights and technical findings.

The Back-End Developer will design, build, and maintain AI-driven server-side applications, integrating AI/ML models and collaborating with teams to optimize performance and ensure data security.

The role involves watching short video clips and providing engaging, detailed descriptions to enhance content accessibility and optimization.

Design, build, and deploy generative AI agents and reusable components using Microsoft Copilot Studio. Apply prompt engineering, grounding, and LLM techniques; integrate with Microsoft APIs and connectors; validate, test, troubleshoot, and productionize solutions while collaborating with business teams.

Lead AI and Generative AI strategy, governance, and delivery across wholesale banking. Manage AI teams, prioritize use cases, drive Copilot-based solutions, ensure responsible AI practices and compliance, measure benefits, and lead adoption and training.

Partner with business stakeholders to identify and assess AI use cases across Wholesale Banking, design scalable Generative AI solutions, lead workshops, develop business cases and metrics, advise on Microsoft 365 Copilot, Copilot Studio and Intelligent Automation, and support adoption and change management to realize AI-driven value.

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.

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.