Cloud AI Platform Engineer

A leading technology organisation in Bangkok is seeking a Cloud AI Platform Engineer to help design, build, and scale the foundational AI infrastructure powering their global enterprise platform. You will work closely with knowledgeable technical leaders and cross-functional teams, collaborating on cloud-native AI pipelines, multi-tenant architectures, retrieval systems, and internal tools that drive real-world change for frontline workers.

What you'll do:

As a Cloud AI Platform Engineer based in Bangkok, you will play a pivotal role in evolving the organisation’s AI capabilities from early integrations into core platform systems used by enterprise clients globally. Your day-to-day responsibilities will involve architecting cloud-native solutions that prioritise reliability over clever prompts—focusing on building scalable foundations rather than isolated demos. You’ll collaborate closely with technical leaders including backend architects and DevSecOps experts to define clean integration boundaries while implementing production-grade solutions hands-on. By developing retrieval-augmented generation systems and optimising ingestion pipelines for knowledge buckets and content sources, you’ll enable intelligent insights that directly impact frontline workers. Your efforts will also extend to improving content quality through structured workflows and supporting internal stakeholders with effective tooling. Success in this role requires balancing experimentation with production readiness while fostering communal problem-solving across diverse teams.

• Define the long-term architecture for cloud-based AI platforms by designing systems where models are modular and easily replaceable within a secure infrastructure.
• Build scalable and observable AI pipelines using AWS services to ensure high reliability, cost control, and robust security across all deployments.
• Design and implement retrieval-augmented generation (RAG) systems that optimise knowledge ingestion pipelines for accuracy, latency, and multi-tenant access.
• Develop chunking strategies, metadata management processes, and indexing logic to support permission-aware retrieval mechanisms tailored for enterprise requirements.
• Improve the quality of AI-generated content through structured workflows that include evaluation and feedback mechanisms to measure output consistency and localisation.
• Work collaboratively with backend engineers to define APIs, data models, event flows, and integration boundaries that ensure seamless interoperability between AI systems and existing services.
• Coordinate implementation details with cross-functional teams while maintaining clear ownership boundaries to foster effective teamwork and shared responsibility.
• Monitor key metrics such as latency, failures, throughput, and cost for all AI pipelines by establishing best practices for observability and operational excellence.
• Build internal tools that empower content authors, customer success teams, or product managers to interact efficiently with AI-powered features.
• Establish company-wide standards for responsible AI development by sharing knowledge and supporting training opportunities across engineering teams.

What you bring:

To excel as a Cloud AI Platform Engineer in this organisation’s mission-driven team based in Bangkok, your background should reflect substantial experience in backend or platform engineering—ideally within cloud-native environments leveraging AWS technologies. Your interpersonal skills will be essential as you collaborate closely with other engineers on defining APIs and integration boundaries while communicating complex technical concepts clearly. A pragmatic mindset will help you balance experimentation against production readiness as you contribute to evolving requirements in a fast-paced setting. Your proven ability to design distributed multi-tenant architectures will underpin your success in building reliable systems where modularity is key. Experience developing monitoring solutions for large-scale pipelines—and building internal tools that empower non-engineering stakeholders—will further distinguish your candidacy. Familiarity with modern programming languages such as Golang or Python along with exposure to vector databases or managed LLM services will be highly regarded but not strictly required.

• Minimum three years of experience in backend engineering, platform engineering or systems engineering with proven expertise in building cloud-native solutions ideally on AWS.
• Demonstrated ability to design distributed multi-tenant architectures that support modularity and secure data flows across complex environments.
• Comfortable thinking in terms of infrastructure pipelines—including queues, batch jobs, retries—and applying best practices for observability throughout system lifecycles.
• Excellent collaboration skills when working alongside backend engineers; able to define clean integration boundaries while communicating technical ideas clearly in English.
• Pragmatic approach to balancing experimentation with production readiness; outcome-focused mindset suited for fast-moving startup environments.
• Experience designing APIs, data models or event flows that facilitate seamless integration between AI platforms and existing backend services.
• Ability to develop monitoring solutions for latency, failures, throughput or cost within large-scale AI pipelines using modern cloud technologies.
• Track record of building internal developer or admin tools that enhance productivity for content authors or product managers interacting with AI features.
• Familiarity with AWS services such as Lambda, SQS, DynamoDB, RDS or Step Functions is highly desirable but not mandatory; exposure to vector databases like Aurora pgvector or Pinecone is advantageous.
• Knowledge of Golang, Node.js or Python is beneficial; experience working with LLMs via managed services (e.g., AWS Bedrock or OpenAI) would be considered an asset.

What sets this company apart:

This organisation stands out as a global leader in behavioural technology dedicated to helping frontline teams work safer, smarter, and more connected through its innovative platform blending habit-forming user experiences with enterprise training and actionable insights powered by artificial intelligence. The team operates under supportive leadership that values autonomy, trustworthiness, communal problem-solving approaches and thoughtful engineering practices—creating an inclusive environment where every member’s contribution drives real-world change. Employees benefit from flexible hybrid working arrangements based in Bangkok alongside opportunities for professional growth through collaborative projects spanning multiple disciplines. The company’s commitment to responsible deployment of advanced technologies ensures your work has meaningful impact on both local communities and international enterprises alike.

What's next:

If you are passionate about shaping the future of cloud-based AI platforms within an inclusive team environment—this is your chance to make a lasting difference!

Apply today by clicking on the link provided below.

Due to the high volume of applications, our team will only be in touch if your application is shortlisted.

Robert Walters Recruitment (Thailand) Limited
Recruitment License No.: น. 1188 / 2551