Top Artificial Intelligence Jobs in the Philippines

Leads Data and AI success management for a commercial business unit, securing stakeholder adoption and connecting analytics initiatives to revenue, retention, profitability, and operational metrics. Directs initiatives from ideation through production and adoption, navigates technical and organizational challenges, and applies SQL, quantitative analytics, data visualization, statistical modeling, data management, warehousing, and data modeling concepts.

Design, build, and deploy production-grade multi-agent systems using Google ADK. Architect deterministic graph workflows, integrate tools and enterprise datastores via MCP, evaluate and debug agent execution, and scale agents on Agent Engine using GCP (Cloud Run/Vertex AI) with a focus on reliability, security, and low latency.

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

Design, implement, and monitor AI-driven automations and integrations using platforms like n8n/Make/Zapier. Build LLM-powered workflows (chatbots, transcription pipelines), maintain dashboards and reporting, deploy and tune models, and collaborate with stakeholders to document and optimize end-to-end systems.

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.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

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.

The Website Developer & Designer will build, customize, and maintain websites for clients, focusing on WordPress and Webflow with an emphasis on design, SEO, and performance.

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

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.

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.

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

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.

Lead identification, prototyping, and deployment of high-impact AI use cases; integrate AI into systems and workflows; drive adoption via training, playbooks, and change management; establish usage guardrails; partner with IT, Sales Ops, and transformation teams to scale AI capability.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

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.

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.

Design, develop, and maintain Oracle databases and applications, optimize performance, collaborate with developers, and manage containerized applications using OpenShift.