Top Artificial Intelligence Jobs in the Philippines

Own product areas for BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own product areas across AI investing and financial services, from defining user problems and roadmaps to launching features and improving performance. Collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use metrics and user feedback to guide decisions, manage trade-offs, and drive execution with high ownership.

Freelance evaluator reviews English-to-Filipino machine-translated and AI-generated software content for accuracy, fluency, terminology, formatting, and usability. Responsibilities include identifying translation errors, validating terminology, style guides, UI strings, placeholders, and localization formatting, and providing feedback to improve AI translation quality. The role requires collaboration with localization teams and coverage of CET hours while working remotely from the Philippines.

Own core platform features and AI-powered personalization across Binance’s main site, including homepage, user center, market pages, onboarding, recommendation strategies, and generative UI. Partner with engineering, design, data, ML, and business teams to define requirements, improve user journeys, increase conversion and engagement, establish success metrics, run experiments, and iterate on user-facing products.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Design, build, deploy, and maintain scalable AI and machine learning solutions on Azure. Develop data pipelines, APIs, integrations, CI/CD workflows, containerized deployments, and MLOps practices. Collaborate with tax, audit, and advisory teams to identify AI use cases, develop proofs of concept, optimize production models, document solutions, and ensure privacy, security, and ethical AI compliance. Mentor junior engineers and provide training and support to improve AI literacy.

Lead AI strategy, consulting, advisory, business development, presales, solution design, and client delivery. Identify high-value AI use cases, lead proof-of-concept initiatives, research emerging technologies, develop thought leadership, and support the launch and scaling of AI solutions. Balance strategic leadership with hands-on technical execution while collaborating with data scientists and AI architects to drive client AI adoption.

Administer and engineer Salesforce AI platforms, including access controls, permissions, automation, integrations, monitoring, release management, governance, and operational support. Support AI pilots and production rollouts involving AgentForce, case summaries, customer-facing agents, knowledge management, and workflow automation. Collaborate with Customer Success, Product, Security, Support, Services, and TechOps teams to translate requirements into scalable solutions, troubleshoot incidents, improve deployment processes, and maintain secure, reliable platform operations.

Administer Salesforce’s AI ecosystem, including AgentForce, Data Cloud, and Einstein. Manage users, licenses, permissions, security, environments, releases, governance, compliance, monitoring, troubleshooting, documentation, and operational support. Partner with Customer Success, Product, Security, TechOps, and Platform Engineering to enable secure AI pilots, platform rollouts, and customer-facing automation.

Designs, develops, deploys, and operationalizes enterprise AI solutions, including Generative AI and agentic systems. Builds reusable AI services, APIs, SDKs, platforms, and MLOps frameworks; evaluates and optimizes models, prompts, and workflows; integrates AI agents with enterprise applications and business processes; and helps establish AI engineering standards and governance.

Own post-sale technical relationships with strategic enterprise customers from onboarding through production deployment and ongoing adoption. Advise on model selection, fine-tuning, prompt engineering, RAG, agent architecture, and inference optimization. Troubleshoot production issues, coordinate escalations, maintain technical playbooks, represent customer feedback internally, lead QBRs, support renewals, and identify expansion opportunities.

Own and grow a portfolio of GenAI startup accounts by identifying prospects, leading technical conversations, coordinating onboarding and integrations, shaping tailored solutions and proofs of concept, and finding expansion opportunities through usage data. The role requires credibility with founders, engineers, and executives, plus the ability to explain AI infrastructure topics such as inference, APIs, model tuning, and GPU architecture. The Account Executive also represents Fireworks across the GenAI ecosystem and translates customer feedback into product insights.

Own end-to-end development of Fireworks Nexus and platform features, including intelligent AI routing, cost observability, enterprise controls, developer tools, APIs, integrations, model playgrounds, fine-tuning workflows, and billing. Build across React/TypeScript frontends and Python/Go backend services, instrument products, analyze usage, and iterate rapidly with infrastructure, research, growth, data, and design teams.

Lead and deliver operational excellence and transformation projects for finance functions using OE frameworks (Lean/Six Sigma, DMAIC), process redesign, automation (Alteryx, Power Automate, UiPath), BI (Power BI), stakeholder management, benefits tracking and change management to improve efficiency, accuracy, cost, and customer satisfaction.

Design and develop interactive, modular e-learning content for bancassurance and agency channels. Produce multimedia (video, simulations, graphics), apply instructional design and gamification, manage end-to-end module lifecycle, monitor learner engagement, and collaborate with SMEs, Compliance, and peers to ensure quality and timely delivery.

Lead PMO activities for Post Trade Solutions, providing portfolio governance, financial oversight, reporting, and delivery assurance. Maintain Clarity PPM data, produce executive governance packs/dashboards, support budgeting/forecasting and month-end processes, manage RAID registers, monitor milestones and dependencies, and drive PMO process improvements. Engage senior stakeholders, ensure compliance with governance standards, and enable decision-making through accurate portfolio insights and financial controls.

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.

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.

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.

Sutherland seeks to drive digital transformation through advanced technologies including AI, automation, and cloud engineering, enhancing business operations for clients.

Generate and optimize AI video ads using emerging generative models. Develop prompting workflows and libraries, benchmark new models, improve consistency and lip sync, apply video-editing judgment, and create performance-focused advertising content in collaboration with the product team.

Create and refine educational training videos using Synthesia and professional editing software. Responsibilities include building scenes, editing AI-generated and raw footage, improving pacing and transitions, adding captions, B-roll, callouts, graphics, and audio enhancements, and developing reusable templates and scalable workflows. The role also evaluates existing course content and recommends creative improvements to increase engagement, comprehension, and viewer retention.

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.

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

Manage AWS services, automate tasks using Python scripts, support AI model training and data handling, and document workflows.