Top Artificial Intelligence Jobs in Quezon City

Design and own end-to-end AI agent architectures and orchestration for support experiences. Define prompting, persona, escalation/handoff logic, RAG integrations, governance, and evaluation frameworks. Collaborate with engineers, knowledge leads, and PMs to implement, test, and iterate conversational AI solutions aligned to customer experience and compliance.

Support business and platform teams with systems analysis, data collection and organization, gap analysis against an AI operating model, and preparation of structured inputs for AI projects. Research AI tools, document integrations and workflows, assist with quality checks, and help produce analysis, reporting, and project documentation.

Build, deploy, and iterate AI agents and RAG pipelines connecting LLMs to knowledge bases. Integrate agents with CRM/support platforms, debug AI failures, run evaluations, write maintainable code, and collaborate with architects and knowledge engineers.

Lead and build Knowledge Engineering and AI/Agentforce teams to define AI-driven support strategy, structure knowledge for AI retrieval, govern AI agent behavior, drive adoption, measure performance, and coordinate cross-functional initiatives with product, engineering, and support stakeholders.

Support the sales team by triaging demo and lead inquiries, maintaining CRM records and templates, creating sales resources, assisting prospecting and closing tasks, handling occasional client communications, and identifying process improvements to improve efficiency.

Support AI training and evaluation projects by reviewing AI-generated outputs, providing feedback, and ensuring high-quality results through cultural context and detailed guidelines.

The role involves evaluating AI-generated content, reviewing multimedia materials, and generating culturally relevant annotations to improve AI models. Attention to detail and strong local knowledge are essential.

Define and track AI feature success metrics, design and analyze experiments (A/B tests), build AI prototypes, explore data to inform product decisions, create dashboards, improve model interpretability and fairness, and collaborate with product and engineering teams to align models with product goals.

Lead AI research, design, and deploy end-to-end ML/LLM solutions (RAG, agents, fine-tuning). Manage and mentor a team, architect scalable production AI systems, implement MLOps, and collaborate cross-functionally to deliver measurable business value.

Design and implement scalable data and AI solutions. Build and optimize EL(T) pipelines, manage data extraction/integration/storage, apply software engineering best practices, mentor team members, collaborate with stakeholders, and drive AI/data platform adoption across projects.

The role involves creating SEO-optimized content using AI tools like ChatGPT, producing conversion-focused copy, and meeting high-volume writing goals while ensuring quality and brand alignment.

The role involves building workflows and dashboards, developing RAG systems, and scripting in Python or JavaScript while utilizing AI tools for rapid development.

Design and prototype AI-powered automations and multi-modal conversational agents, build integrated low-code/code workflows, run POC/MVPs, demonstrate solutions to clients, gather feedback, and collaborate on internal AI innovation.

As a Senior AI Engineer, you'll design and deliver scalable AI solutions, lead LLM integration, and mentor engineers while ensuring performance, reliability, and quality compliance.

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.

As an AI Image Generation Specialist, you'll enhance and generate images using Photoshop and AI tools while editing photos for global clients and supporting Snappr's growth.

The SEO Manager drives search strategy and execution, focusing on keyword research, content optimization, technical SEO, and performance insights. They collaborate with teams to integrate SEO into content planning and track performance metrics, ensuring alignment with business objectives while supporting AI-related initiatives.

This role involves identifying business opportunities, translating needs into technology solutions, and implementing transformation initiatives using SAP and AI.

Design, build, deploy, and maintain production-ready AI agents and automation workflows using Claude Code, Python, and automation platforms (n8n/Make). Integrate SaaS via APIs/webhooks, implement observability, optimize performance and costs, and translate business processes into scalable AI systems with human-in-the-loop controls.

Support B2B lead generation, outreach, and AI-enabled content and automation. Conduct prospect research, build pipelines and databases, execute LinkedIn campaigns, create AI-assisted marketing content, manage CRM data, and provide administrative and project support to leadership.

Perform remote, part-time data tasks to improve AI in Tagalog: collect, evaluate, and annotate data; perform pairwise comparisons, counting, and object tagging across audio, video, images, and collected data. Requires native Tagalog and fluent English; AI/data experience preferred. Freelance, flexible schedule, immediate start, 10+ hours/week.

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.

Design, build, and scale enterprise-grade generative and agentic AI solutions. Translate business needs into technical architectures, prototype and harden productions systems, architect multi-agent systems and ERP integrations, apply safety/guardrails, collaborate with platform and security teams, define CoE standards and governance, and build reusable assets like templates and runbooks.

Design, build, and maintain Claude-based AI agents and multi-agent bookkeeping workflows. Integrate with accounting platforms (Xero, QuickBooks, MYOB, Zoho, Odoo), automate transaction coding, document processing, and RFIs, implement human-in-the-loop checks, confidence scoring, audit trails, and scalable automation infrastructure for a commercial AI accounting platform.

Lead marketing transformation by designing and scaling AI-enabled workflows, automation, governance, and enablement. Partner with marketing, tech, and regional teams to prototype solutions, drive adoption, measure KPIs, and standardize best practices to improve speed, quality, and business outcomes.