Top Artificial Intelligence Jobs in the Philippines

Own product areas for KIRA’s AI stockbroking and financial services apps. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, metrics, feedback, experiments, and production insights to improve decisions, launch features, monitor performance, and drive iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Investing and broader financial services portfolio. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch features; monitor performance; and drive data-informed iteration while balancing customer experience, business impact, compliance, and operational complexity.

Develop and deploy AI and machine learning solutions that improve internal efficiency and create customer value. Responsibilities include integrating data from diverse sources, transitioning prototypes into production, integrating models with existing systems, optimizing performance, maintaining code quality, improving business processes, and supporting organizational adoption through training and change management.

Supports software engineering teams by providing technical guidance, code reviews, mentoring, and project support. Collaborates cross-functionally to define requirements and deliver software solutions. Helps execute engineering strategy, manage tasks, monitor timelines, resources, and budgets, and mitigate project risks. Promotes innovation, collaboration, and continuous learning while contributing to team development and technology assessments.

Architect, build, deploy, and operate production-grade AI agentic systems and workflows. Responsibilities include backend and full-stack development, agent orchestration, workflow state, retrieval, memory, approvals, failure recovery, data architecture, enterprise integrations, cloud infrastructure, observability, security, and scaling. The role establishes reusable engineering patterns and partners with users to deliver reliable AI products, while addressing production issues involving model behavior, permissions, latency, cost, and consistency.

Leads regional Customer Operations across multiple countries, translating global strategy into operating plans and measurable performance outcomes. Owns service levels, customer experience, productivity, capacity, quality, transformation, governance, and business continuity. Develops distributed leadership teams, drives continuous improvement and digital adoption, manages workforce resources, and partners with senior leaders across Commercial, Supply Chain, Finance, IT, Quality, and HR.

This 12-week engineering internship supports P&G technical centers and manufacturing sites. Interns contribute to automation and controls, mechanical design, packaging, manufacturing process development, instrumentation, robotics, and environmental or civil engineering projects. Responsibilities include technical analysis, prototyping, process optimization, equipment and control-system development, validation, supplier collaboration, and sustainability initiatives. Interns receive mentorship, training, hands-on project ownership, and exposure to advanced manufacturing and Industry 4.0 technologies.

Support ML engineers operating production training and inference workloads across Kubernetes, cloud, and GPU infrastructure. Diagnose distributed PyTorch, CUDA, NCCL, networking, storage, scheduling, and performance issues; analyze observability data; advise customers during incidents; and improve reliability through automation, tooling, documentation, runbooks, and operational processes. The role is remote in the Philippines or Singapore and follows a Sunday-Wednesday APAC shift.

Build and maintain AI-powered business workflow automations using Make.com, Power Automate, and related platforms. Administer Zendesk workflows and AI customer-service systems, create internal AI assistants and Microsoft 365 productivity automations, document processes, test for errors and hallucinations, and coordinate light Amazon and Walmart marketplace tasks. The role requires strong process thinking, troubleshooting, documentation, and practical experience integrating AI tools, ticketing systems, APIs, and business applications.

Drive high-velocity B2B sales to U.S. SMB owners by conducting discovery calls, delivering product demonstrations, managing the sales cycle, and closing deals through first payment. The role requires value selling, disciplined pricing, follow-up, call control, target achievement, and client relationship management. The executive will collaborate with the sales team, monitor competitors, and work U.S. business hours while selling AI agent products remotely from Colombia.

Own client onboarding, configuration, adoption, troubleshooting, communications, retention, and expansion for B2B SaaS AI agent solutions. Provide technical guidance to nontechnical stakeholders, manage go-lives, collaborate with engineering on APIs and integrations, and support customers during US business hours. The role requires strong English and Spanish communication, independence, organization, and customer relationship management.

Own B2B SaaS and AI products end to end, from customer problem discovery through specifications, prototyping, QA, launch, and measurable outcomes. Collaborate with engineering, design, and QA; interpret APIs and integrations; gather customer feedback; prioritize initiatives; and improve adoption, revenue, retention, and efficiency. The role requires strong technical fluency, customer engagement, decision-making, and the ability to operate independently in a fast-paced startup environment.

Manage post-sales success for B2B SaaS customers by configuring software, implementing AI agents and workflows, troubleshooting technical issues, developing prompts and integrations, and coordinating with engineering. The role owns customer issues, provides training and guidance, documents solutions, and builds strong client relationships. Candidates need customer success experience, technical aptitude, communication and problem-solving skills, organizational ability, and familiarity with AI, APIs, integrations, CRM, or technical support tools.

Conduct full-cycle B2B SMB sales for AI agent software, including discovery calls, product demos, negotiation, closing, follow-up, CRM management, performance reporting, and client relationship development. The role sells recurring software subscriptions to US business owners, requiring strong objection handling, value-based selling, punctuality, independent execution, and achievement of sales targets.

Own the end-to-end development and delivery of B2B SaaS and AI features. Prototype concepts, write precise engineering specifications, manage APIs and integrations, test releases, gather customer feedback, troubleshoot bugs, prioritize the backlog, and verify customer outcomes. The role requires hands-on technical product management, decisive prioritization, strong documentation, and close collaboration with engineering and customers.

Own post-sale customer relationships for an AI Agents platform, including onboarding, configuration, adoption, troubleshooting, issue resolution, and go-live acceleration. Manage multiple B2B SaaS accounts, communicate progress, coordinate technical handoffs, monitor satisfaction and retention, and identify expansion opportunities. The role requires strong technical aptitude, customer relationship management, problem-solving, communication, and familiarity with AI, APIs, and technical workflows.

Configure AI agents, prompts, and workflows; troubleshoot customer configuration issues; test fixes; support customer inquiries; manage account health, retention, and expansion; coordinate custom API integrations; document technical configurations; and guide customers to independent go-live within seven days. The role requires customer-facing communication, technical problem-solving, independent account management, and availability during US business hours.

Own customers from contract signing through implementation, go-live, adoption, retention, and expansion. Configure AI agents, prompts, workflows, integrations, authentication, webhooks, and third-party systems. Troubleshoot configuration and integration issues, conduct testing, lead customer calls, address churn risks, document recurring problems, and create repeatable playbooks. The role requires strong communication, technical aptitude, customer ownership, adaptability, and availability during US business hours.

Own the post-sale customer journey from implementation through ongoing success. Configure AI workflows, call forwarding, integrations, prompts, and escalation logic; troubleshoot technical issues; coordinate engineering escalations; conduct onboarding and check-ins; manage retention and expansion opportunities; and document recurring issues and playbooks.

Designs scalable, compliant, implementation-ready automation and AI solutions, including RPA, intelligent document processing, AI-assisted workflows, and system integrations. Translates business requirements into solution architectures, workflows, exception handling, data specifications, user stories, and acceptance criteria. Collaborates with business, IT, architecture, security, data governance, development, QA, and UAT teams while ensuring responsible AI use, regulatory compliance, reusable standards, and continuous improvement across transformation initiatives.

Provides senior technical ownership for enterprise business applications, resolving complex cross-application incidents, leading root cause analysis, managing vendors and SLAs, and driving permanent fixes. Leads technical workstreams for implementations, upgrades, migrations, cutovers, and decommissioning. Defines test strategies, validates releases, manages application risks and compliance, supports infrastructure, and mentors junior consultants while collaborating with business stakeholders, vendors, and infrastructure teams.

Build and support scalable SaaS applications, APIs, front-end features, data models, and AI agents. Work across the software development lifecycle using cloud technologies, CI/CD, automated testing, and AI-assisted development tools. Collaborate with product, quality, and platform teams; participate in design discussions, troubleshooting, code reviews, and architectural decisions. Support less experienced engineers and evaluate emerging AI development practices.

Own and grow an enterprise agricultural sales territory, targeting major growers and farm-management organizations. Responsibilities include prospecting, pipeline generation, in-field demonstrations, ROI development, pilot structuring, negotiation, closing six-figure contracts, and expanding multi-region accounts. The role requires building relationships with growers, agronomists, executives, and technical stakeholders; managing forecasts and CRM data; representing Orchard at industry events; and helping shape pricing, product strategy, and market positioning.

Build scalable SaaS applications, APIs, front-end experiences, and AI agents across the full software development lifecycle. Develop and test production software, integrate AI platforms, participate in code reviews and architectural decisions, troubleshoot using diagnostics, and work with cloud technologies and CI/CD pipelines. Use AI coding assistants and autonomous development tools to accelerate engineering, testing, reviews, and documentation while collaborating with product, quality, and platform teams.

Design, develop, test, and support scalable SaaS applications, APIs, front-end features, data models, and AI agents. Work across the software development lifecycle using cloud technologies, CI/CD, automated testing, and AI-assisted development tools. Collaborate with product, quality, and platform teams; participate in architecture discussions, troubleshoot production issues, review code, and mentor less experienced engineers.