AI & Automation Specialist

This position plays a pivotal role in overseeing the implementation and maintenance of AI and automation solutions within the organization's global business operations. The successful candidate will be responsible for managing all aspects of automation projects, starting from identifying business challenges to developing, deploying, and supporting the solutions, while ensuring the stability and performance of existing services. Collaboration with business stakeholders, IT departments, and external vendors is essential to transform operational issues into efficient and scalable automation solutions. The role also includes providing support during both US and Asia business hours as part of a structured global support framework.

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IMPORTANT — REQUIRED VIDEO SUBMISSION   Every applicant MUST submit a 2–3 minute Loom video explaining a software project they have personally worked on.   In your video, please explain the project's purpose, your specific role, the technologies involved, and how you approached the technical challenges.   Speak naturally, as if you were explaining the project to a potential US client. We want to evaluate your English fluency, technical knowledge, confidence, speaking voice, and ability to communicate without a script.   Proposals without a Loom video link will NOT be considered. No exceptions.

As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.

In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.

* Support the daily operation of AI and automation services by managing incidents, service requests, and change requests until resolution, adhering to strict ticket tracking and documentation protocols aligned with service-level agreements. * Serve as the central liaison between business users, IT teams, and vendors, monitoring service performance, utilization, and vendor capabilities. * Collaborate with business stakeholders to identify potential automation and AI applications and convert them into feasible and scalable technical requirements. * Develop, test, and implement automation solutions such as RPA, workflow automation, and AI tools in conjunction with IT, infrastructure, and security teams. * Drive user acceptance through training, standard operating procedures, documentation, and lead ongoing enhancement of automation services.