Run a real decision cadence. Every initiative has a named decision-owner and a standing checkpoint — no initiative sits in limbo waiting on "someone to decide."
Partner with Engineering as a peer, not a queue. Work directly with engineering leads on feasibility and sequencing up front, instead of discovering capacity constraints after commitments are made.
Own outcomes end-to-end — from opportunity sizing through UAT to post-launch metrics — and report actual turnaround time against target, not just status.
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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Financial Accuracy: Ensure all receivables and account statements are correct and submitted on time, covering guests, groups, banquets, employees, and credit card companies.
University degree with 3-4 years of relevant experience.
Attention to detail, good communication, and interpersonal skills.
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You will build and operate the platform's reliability and governance layers: distributed rate limiting and tiered capacity isolation on Redis, API key and OIDC/workload-identity authentication, and token-level usage logging, cost computation, and chargeback pipelines integrated with PostgreSQL and the data lake.
You will manage CI/CD and cloud resources (AWS/GCP/Azure), Kubernetes deployments, database migrations, and configuration across staging and production environments, including platform migrations such as moving the gateway to Grab's standardized EKS stack.
You will champion test-driven development and "shift-left" quality. Write tests first, mentor junior engineers, and foster a platform-thinking culture so that reliability, cost accountability, and security are designed in, not bolted on.
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Join the CEO Office and be part of a team driving strategic transformation across Southeast Asia while shaping how Artificial Intelligence (AI) and digital technologies are adopted within the organization.
This internship offers a unique opportunity to work closely with senior leadership on regional transformation initiatives, executive operations, AI innovation, and business process improvement. You will gain hands‑on experience across strategy execution, stakeholder engagement, executive communications, project management, and AI‑driven productivity initiatives.
If you are curious, proactive, and passionate about solving business problems with technology, this role offers an exceptional platform to learn and make a meaningful impact.
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