Top Artificial Intelligence Jobs in Davao City

Lead payment lifecycle operations, including daily processing, reconciliations, investigations, exception management, and performance tracking. Resolve control and production breaks, manage operational risk, support fraud prevention, and escalate threats or delays. Partner with stakeholders on automation, process improvements, and client experience enhancements while translating business priorities into execution plans and measurable outcomes.

Bridges business needs and AI solutions by gathering requirements, assessing AI and automation opportunities, developing business cases, supporting solution design and delivery, facilitating stakeholder collaboration, assisting testing and implementation, and tracking project outcomes, benefits, reports, and continuous improvement initiatives.

Leads operational oversight for AI-powered products and platforms, monitoring performance, developing dashboards, analyzing business outcomes, and driving process improvement. The role supports AI governance, risk management, compliance, operational standards, forecasting, and scalable operating models. It also partners with engineering, product, and business stakeholders to deliver operational excellence and present strategic recommendations.

Leads the strategy, roadmap, delivery, and continuous improvement of AI-powered products. Defines product vision, requirements, priorities, metrics, and success criteria while collaborating with executives, engineering, AI, data science, and business teams. Oversees product launches, adoption, performance optimization, stakeholder communication, and responsible AI governance. Requires strong product management, analytical, commercial, Agile, executive communication, and cross-functional leadership skills.

Supports responsible AI governance through framework development, risk and impact assessments, fairness and transparency reviews, regulatory compliance, documentation, stakeholder advisory, training, and continuous improvement. The role collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI adoption.

Supports the day-to-day operation, monitoring, reporting, governance, and continuous improvement of AI-powered platforms. Analyzes performance metrics, identifies operational issues and optimization opportunities, develops dashboards and reports, maintains procedures and documentation, and coordinates issue resolution across AI engineers, product teams, operations leaders, and business stakeholders. The role also supports AI adoption, compliance, risk mitigation, and operational standards.

Evaluates AI chatbot functionality, response quality, accuracy, compliance, and conversational effectiveness. Executes test plans, regression testing, and user acceptance testing; documents defects and test results; analyzes conversation flows and recurring issues; collaborates with AI trainers, prompt engineers, and development teams; prepares performance reports; and supports chatbot optimization, testing standards, and evaluation framework improvements.

Leads multiple technical sales teams in the Philippines, driving AI and cloud transformation initiatives, pipeline and forecast accuracy, revenue growth, customer and partner engagement, competitive strategy, and sales execution. Manages organizational resources, coaches sales specialists, develops talent and succession plans, promotes technology-enabled selling, and aligns Microsoft solutions with customer business outcomes and market opportunities.

Join Welo Data’s remote Tagalog contributor network for future AI data projects. Work may include annotating text, images, or audio; evaluating search results, ads, or chatbot responses; creating prompts; and checking cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join a Philippines-based contributor network supporting AI development through text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects are flexible and remote, varying from several days to weeks. Contributors receive project details and compensation information before deciding whether to participate.

Lead product direction and execution for major areas of KIRA’s AI-powered financial app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide product managers, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations.

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.

Provide remote counseling for members recovering from substance use disorders through chat, video, and phone sessions. Conduct onboarding assessments, monitor recovery progress, apply CBT, motivational interviewing, relapse prevention, and related therapeutic strategies, and coordinate MAT. Collaborate with multidisciplinary healthcare teams, participate in case discussions, maintain active Massachusetts credentials, and use AI-enabled clinical tools for documentation and care support.

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.

Lead supply chain business analysis and consulting across presales, RFPs, client discovery, requirements gathering, process mapping, fit-gap analysis, solution design, and implementation support. Translate business needs into functional requirements and scalable technology solutions using supply chain platforms, analytics, and AI. Facilitate stakeholder workshops, define KPIs and analytics requirements, support testing and deployment planning, and manage client relationships across business and technology teams.

Own partner services operations including SOWs, invoicing, renewals, access governance, capacity planning, and audit-ready documentation. Build AI-powered workflows, automations, reports, dashboards, and customer health analyses supporting TAM, Solutions, Support, and Partner Services. Analyze operational data, identify risks and opportunities, support retention initiatives, and execute cross-functional programs while driving adoption of new tools and processes.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

As a Senior Solutions Engineer, you will collaborate with the AI Transformation team to build and maintain AI and automation solutions, integrating diverse internal tools, while modernizing systems to enhance operational efficiency.

Startek provides tech-enabled, human-assisted customer experience (CX) solutions using AI, omnichannel orchestration, and CX analytics. They partner with global brands to analyze customer interactions, deliver CX insights, and drive digital transformation. This posting contains a company overview; specific role responsibilities were not provided.

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Own AI product builds from concept through production, including requirements gathering, LLM prototyping, data engineering, integrations, evaluation, security, reliability, and cost management. Serve as the primary technical client contact, instrument products with analytics and error analysis, iterate based on usage, and document learnings. The role requires strong engineering fundamentals, AI product delivery experience, data pipelines, web and infrastructure knowledge, and high autonomy.

Build and operate production-grade AI data pipelines and financial knowledge services for equities content. Responsibilities include processing text, tables, documents, and multimedia; creating knowledge bases and search indexes; engineering RAG retrieval and citation systems; integrating LLMs and NLP models; managing orchestration, APIs, quality, cost, observability, reliability, and scalable production operations.

Develop, deploy, and optimize scalable machine learning solutions, including predictive, supervised, unsupervised, and deep learning models. Build data pipelines, production model-serving infrastructure, monitoring, retraining, and lifecycle processes. Ensure AI solutions meet quality, security, compliance, governance, and responsible AI standards. Research emerging technologies and collaborate with data scientists, engineers, product teams, and business stakeholders to deliver measurable business value.

Leads AI data annotation operations, including workflow management, resource allocation, production tracking, quality assurance, guideline development, audits, and corrective actions. Coaches annotation teams, supports recruitment and onboarding, collaborates with AI engineers and product teams, translates requirements into operational plans, and drives process improvements, automation, tool adoption, and data strategy initiatives.

Designs, implements, and optimizes AI-powered workflow automation solutions. Responsibilities include analyzing business processes, identifying automation opportunities, documenting current and future-state workflows, gathering requirements, integrating automation tools, supporting testing and deployment, monitoring performance, measuring outcomes, troubleshooting issues, and promoting automation best practices. The role collaborates with business and technical stakeholders and supports training, adoption, pilots, and continuous improvement initiatives.