Top Artificial Intelligence Jobs in the Philippines

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial experiences, ship features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, communication, product judgment, and the ability to make decisions with incomplete information.

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.

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.

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.

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.

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.

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

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.

Drive adoption of an AI-powered ecommerce platform by leading full sales cycles, presenting AI solutions and POCs, translating technical concepts into business value, building long-term client relationships, preparing tailored proposals, and coordinating with product and technical teams to ensure successful delivery and adoption.

Lead strategy, development, and deployment of privacy-first, in-house generative AI tools for marketing and content. Design, fine-tune, and scale LLM and RAG systems, integrate AI into workflows, and enforce data governance and compliance across marketing, product, and engineering teams.

Own product areas within BJAK's AI Neobank app, defining user problems, scope, metrics, roadmaps and launch plans. Work cross-functionally with engineering, design, data, operations, compliance and business teams to simplify complex financial products, launch features, monitor performance, iterate using data and feedback, and balance speed, UX, business impact and compliance.

Lead product direction for major areas of BJAK's AI Neobank app, define roadmaps and metrics, guide PMs/POs, designers and engineers across squads, translate regulatory and business constraints into product decisions, and drive launch quality, post-launch learning and continuous improvement.

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.

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.

The role involves evaluating AI-generated outputs, reviewing and correcting text, and analyzing multimedia content with a focus on cultural context and accuracy.

The role involves evaluating and annotating AI-generated outputs, providing culturally relevant feedback, and ensuring content quality in various media forms.

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