Top Artificial Intelligence Jobs in Caloocan

The AI Engineer will design, develop, and deploy AI solutions, focusing on ML models, AI agents, and implementing MLOps within the Azure and Google environments.

The Operational Excellence Consultant leads process improvements and operational transformation initiatives, providing analytical support, technical training, and project management expertise within the insurance industry.

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.

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.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Build, optimize, and scale high-converting sales funnels using GoHighLevel and AI tools. Implement A/B tests, conversion optimization, retargeting campaigns across major ad platforms, ensure tracking and integrations, write conversion-focused copy, and deliver measurable improvements in conversion rate, ROAS, and revenue.

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.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.

The Director of Operational Excellence leads transformational initiatives in Asia Ops, ensuring efficiency and performance improvements through data-driven decisions and process optimization.

The role involves assessing organizational structures and developing AI-enabled transformation strategies, focusing on efficiency and business performance improvement.

The AI Software Engineer will design, develop, and maintain AI software solutions for industrial automation, ensuring backend and frontend integration, and contributing to CI/CD processes. Collaboration with global teams and maintaining documentation is key to aligning technical solutions with business goals.

Drive end-to-end design and development of AI solutions, focusing on performance, reliability, and technical leadership in AI engineering.

The Engineer II will develop, maintain, and enhance RPA solutions while collaborating with teams to streamline business operations.

The AI Automation Specialist will analyze client operations to identify and implement AI-driven automation solutions, configure integrations, and train teams on effective use of these tools. This role blends business acumen with technical skills in automation.

Provide high-level administrative and operational support to the Business Operations Lead: manage inboxes and calendars, schedule travel, set meeting agendas, coordinate projects and third-parties, oversee timelines/budgets, create SOPs/knowledge bases, track expenses/invoicing, and perform ad hoc tasks. Maintain confidentiality and proactively optimize executive time while being available during extended US Pacific Time hours.

The Full Stack Developer (AI Tools) will maintain and enhance web applications, design and build new ones, and leverage AI and low-code tools to improve workflows while collaborating with stakeholders.

The AI Application Developer designs and develops AI solutions using LLMs and RAG. Responsibilities include optimizing model performance, implementing decision logic, and building scalable applications.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

The Principal Product Owner, AI will manage the AI product roadmap, oversee development teams, drive client adoption, and represent the company's AI initiatives externally.

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

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

Create AI-generated images and videos from creative briefs, assist video editors by producing image-first assets, edit using Adobe Premiere and CapCut, learn new AI tools, collaborate with creative leads, and organize creative files. Complete a short test assignment if selected.

The AI Engineer will design, develop, and deploy AI solutions, collaborate with stakeholders, and maintain AI applications ensuring performance and scalability.

Lead technical architecture and engineering standards for Dentsu's AI engineering team, mentor engineers, and manage implementation of multi-agent systems and AI workflows.

Lead technical architecture for AI systems, mentor engineers, design orchestration for client implementations, and oversee coding standards.