Top Artificial Intelligence Jobs in the Philippines

Participate in a four-week in-office onboarding bootcamp, then join a software engineering team to design, code, test, debug, automate, and maintain applications. Contribute to real-world projects, evaluate tools and techniques, build utilities to improve efficiency, and apply AI/ML where applicable while complying with company policies and hybrid work requirements.

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

Conduct AML investigations, manage transaction monitoring, review cases for compliance, and support financial crime initiatives while maintaining case documentation.

The Demand Planner oversees sales forecasting, collaborates with teams to analyze trends, manage inventory, and improve forecast accuracy.

Manage daily sales operations, coach team members, monitor performance, shape sales strategy, enhance customer satisfaction, and drive results through data insights.

Design, develop, test, and support automation and image-analytics solutions using ML/AI for 24/7 manufacturing. Integrate with MES, perform root-cause analysis, optimize automation, maintain version control, and support deployment and L1 teams following SDLC/DevOps and Agile practices.

As a Sales Graduate, you will understand customer needs, design solutions, support account teams, and advance sales opportunities while enhancing your professional skills.

Develop, test, deploy, and maintain production-grade AI/ML models and LLM-powered applications. Participate across the AI lifecycle, implement cloud/IaC solutions, contribute to reusable platforms, collaborate with cross-functional teams, and troubleshoot production issues while learning from senior engineers.

The role involves building client relationships, educating on the FICO Platform, managing software solutions sales, and achieving sales targets.

The position offers IT technical support, focusing on aiding users with technology-related issues and ensuring seamless business operations within the company.

The Senior AI ML Engineer designs and develops full-stack applications, integrates AI/ML models, manages cloud deployments, and ensures secure data access.

The Research Analyst will handle content onboarding, client requests through RPDs, perform QA checks, and utilize analytical and problem-solving skills within the finance industry.

The AI Data Operations Analyst will manage AI-human review processes, validate AI data, support manual uploads, and build automation workflows to optimize operations and reporting.

The AI Python Full Stack Engineer will lead a team to develop engineering solutions, ensuring reliability and maintainability while collaborating on design and architecture.

The role involves researching and writing various content types related to technology and SaaS, focusing on user-friendly copy that aligns with clients' voice and style.

The role involves reviewing and evaluating content for alignment with guidelines, ensuring consistency and quality in annotations for AI training data.

Design, build, and optimize user-facing applications that integrate AI-powered features. Collaborate with back-end teams and implement AI-driven functionalities.

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.

The Full Stack Developer will design and implement web applications, integrating AI/ML models, collaborating with teams, and ensuring application performance and security.

Responsible for conducting privacy assessments, implementing data privacy policies, developing privacy-enhancing technologies, and championing privacy and AI best practices.

The AI Specialist builds and tests AI prototypes, experiments with emerging tools, conducts evaluations, and collaborates to transition prototypes into scalable models while documenting insights and technical findings.

Design and develop AI solutions using advanced analytics and cloud technology while conducting market research for AI products and collaborating across teams.

The AI Engineer will design, develop, and deploy AI solutions, collaborate with stakeholders, and maintain AI applications ensuring performance and scalability.

The AI Architect collaborates with stakeholders on AI initiatives, evaluates emerging technologies, and leads architectural reviews to ensure compliance and scalability.

Lead end-to-end AI client implementations, build and maintain AI automation workflows (n8n), design and optimize prompts and LLM integrations, manage backend API/database integrations, mentor team members, and own delivery standards, project timelines, and client outcomes.