Top Artificial Intelligence Jobs in Quezon City

The AI Solutions Engineer leads AI development across operations by enhancing existing AI processes, deploying solutions, and coaching non-technical team members.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design and deploy AI/ML models and automation to improve procurement analytics, integrate data from ERP and BI tools, build dashboards, lead digital projects, and drive stakeholder adoption and training.

Architect and operate sales systems: deploy AI prospecting agents, build automated data-enrichment and scraping pipelines, manage HubSpot CRM architecture and lead routing, run outbound automation, integrate partner workflows, and deliver reporting and SOPs to scale sales operations.

Use AI-assisted tools like ChatGPT to produce high-volume, conversion-focused, SEO-optimized content (blogs, landing pages, emails). Refine AI drafts, maintain brand voice and factual accuracy, meet ambitious production goals, collaborate with marketing on keyword strategy, and continuously improve AI prompts and workflows to boost engagement and conversions.

Design polished, mobile-first interfaces and prototypes for BJAK's AI and financial products. Translate requirements into wireframes, flows, and high-fidelity UI; maintain the design system; collaborate with PMs and engineers; iterate using feedback, analytics and testing; ensure accessibility, responsiveness and visual consistency.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

The AI Engineer Consultant will develop and maintain ETL pipelines in Azure, design MLOPS processes, test ML models, and support infrastructure for users.

The AI Automation Engineer will design and implement AI agents to automate workflows, optimize processes, and ensure compliance while integrating with major enterprise systems.

Responsible for conducting privacy assessments, implementing data privacy policies, developing privacy-enhancing technologies, and championing privacy and AI best practices.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.

Lead and execute AI-first integrated marketing strategies and campaigns to drive acquisition, retention, product launches, community growth, and conversion optimization. Use AI across research, copy, personalization, automation, analytics, and reporting. Collaborate cross-functionally to build funnels, scale education and partnerships, run webinars and evergreen campaigns, and continuously experiment to improve ROI and customer journeys.

Lead design and scaling of AI-first operational systems across the company. Improve processes, documentation, reporting, automation, and cross-functional execution while partnering with executive leadership to increase efficiency, KPI visibility, and AI adoption.

Manage end-to-end global recruitment using AI to source, screen, interview, and onboard candidates. Maintain ATS workflows, recruitment documentation, KPIs, and interview coordination. Partner with leadership to improve hiring quality, reduce time-to-hire, enhance candidate experience, and build scalable, AI-first people operations and SOPs.

Design, build, test, document, deploy, and improve AI-first business automations across CRM, HR, Sales, Marketing, Customer Success, and Operations using no-code/low-code platforms, APIs, webhooks, and AI agents to increase efficiency, accuracy, scalability, and user experience.

Lead UX and UI strategy for AI-first products across web and mobile. Own end-to-end design lifecycle: research, wireframes, prototypes, testing, high-fidelity design, developer handoff, and post-launch optimization. Use AI tools to accelerate research, ideation, prototyping, accessibility reviews, and design systems. Partner with Product, Engineering, AI, Marketing, and Leadership to improve adoption, engagement, retention, and accessibility while raising design standards and shaping product strategy.

Use AI-augmented workflows to create marketing campaigns, websites, videos, social content, presentations, and digital assets. Maintain brand quality, prototype and iterate with emerging AI tools, collaborate across teams, and manage multiple projects to improve engagement, conversions, and creative systems.

Partner with executives to identify, prioritize, and implement AI opportunities across the organization. Develop AI roadmaps, evaluate technologies and vendors, redesign workflows, increase automation maturity, measure outcomes, establish AI governance, and drive business transformation to improve customer experience, productivity, and decision-making.

Design and build AI-first mobile apps using FlutterFlow: create user flows, wireframes, interactive prototypes, and production-ready builds. Integrate REST APIs, auth, state management, caching, and custom code; maintain reusable components and scalable design systems. Leverage AI tools across research, ideation, UI generation, testing, and documentation. Collaborate cross-functionally to iterate, optimize usability and accessibility, and deliver polished production-quality mobile experiences.

Lead visual design across product, marketing, education, and business assets using strategic systems thinking and AI-assisted tools. Create brand identity, presentations, reports, landing pages, social assets, and production-ready collateral while ensuring consistency, quality, accessibility, and cross-functional collaboration to improve user understanding and engagement.

Lead multiple concurrent HealthTech, AI education, and eMarketing projects from planning through delivery. Build timelines, manage risks, coordinate cross-functional teams, run event and promotions calendars, optimize workflows using AI, maintain communication and documentation, and drive continuous operational improvement to ensure high-quality launches and stakeholder alignment.