The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for Agoda's highest-impact opportunities. This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. The position requires extensive hands-on experience in data science, machine learning, and statistics, along with strong Python and SQL skills. Candidates must be able to influence senior stakeholders and communicate clearly across technical and non-technical audiences.

The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks. Qualification: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering. * Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks. * Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies. * Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture. * Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences. * Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.

We are seeking a proactive Hybrid Support & Development Engineer to manage and enhance our Enterprise Architecture (EA) Application Portfolio. This role focuses on the internal application ecosystem, specifically ServiceNow Appport and App 360, hosted on Google Cloud Platform (GCP). You will combine application support, software development, and proactive problem-solving to ensure platform stability and continuously improve internal solutions. You will act as the functional and technical support lead for ServiceNow Appport and App 360 platforms. Your day-to-day responsibilities include troubleshooting application issues, analyzing root causes, and coordinating with technical specialists to drive resolutions. You will also manage Service Requests (SRs) and collaborate closely with internal teams such as Infrastructure and Security to ensure seamless operations.

We are seeking a hands-on Team Lead to drive the discovery, design, and delivery of automation solutions within the Finance and FinTech sectors. This role requires a blend of technical expertise and leadership to improve data and workflow efficiency. You will own a major automation workstream, managing the full lifecycle from initial design through to production support and ongoing maintenance. As a Team Lead, you will remain actively involved in delivery while mentoring team members and ensuring solution quality. You will leverage a diverse toolkit, including code, low-code platforms, APIs, workflow tools, RPA, and AI, to address complex business challenges. The focus is on practical, end-to-end solutions that enhance operational efficiency and accuracy. You will partner closely with Finance subject matter experts, data owners, and engineering teams to break down complex requirements and deliver measurable improvements in straight-through processing and operational risk.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments

You will collaborate with multiple groups to drive innovation and shape impactful outcomes. This role involves designing and evolving advanced artificial intelligence architecture blueprints and technical capabilities. You will develop implementation roadmaps for operationalizing artificial intelligence foundations and scalable architecture within the enterprise. The position requires building and operationalizing end-to-end foundation architecture to enable and govern artificial intelligence at scale. You will assess, evaluate, and incorporate appropriate technologies and platforms across data, artificial intelligence, and machine learning models, operations, security, and governance. The role also includes designing and building custom architectural components to support a scaled artificial intelligence foundation. You will optimize compute infrastructure to improve model serving management, computational performance, and end-to-end observability. Finally, you will implement comprehensive artificial intelligence governance including responsible artificial intelligence practices, security controls, and monitoring.

This role focuses on identifying and optimizing operational processes through the strategic application of automation and artificial intelligence. You will collaborate closely with cross-functional teams to analyze existing workflows, pinpoint inefficiencies, and define clear business objectives. The position involves designing, building, and deploying AI-enabled solutions that integrate seamlessly into daily operations. You will be responsible for the full lifecycle of these solutions, from initial testing and validation to user training and final rollout. Additionally, you will leverage SQL and analytical tools to measure the performance of implemented solutions and their impact on business metrics. You will act as a bridge between technical teams and business stakeholders, translating complex requirements into actionable technical plans. The role requires a strong ability to structure clear narratives for diverse audiences, ensuring that both technical and non-technical stakeholders understand the value of proposed changes. You will manage the integration of AI models and tools using APIs, scripts, and automation platforms to enhance operational efficiency. Continuous support for user adoption and troubleshooting will be essential to ensure the long-term success of the implemented solutions.

Lead the enterprise AI architecture strategy to enable scalable and secure AI adoption across business units. Own the end-to-end architecture governance and technical direction for AI and GenAI solutions. Drive the design and roadmap of enterprise-level AI platforms and shared services to ensure scalability and cross-business adoption. Define and enforce Responsible AI, security, and compliance frameworks while resolving complex architectural challenges. Lead technology evaluation and selection, establishing enterprise-wide architecture patterns and engineering best practices to drive consistency and efficiency.

This role reimagines traditional IT operations by positioning you as the team's core builder and creator of efficiency tools. You will leverage deep technical expertise, scripting mastery, and modern AI/GenAI applications to design and enhance Modern Device Management while developing automation across our entire SaaS and Enterprise Software ecosystem. By joining our team, you will step into a role where you can solve complex system integration challenges, drive internal innovation, and elevate both security and operational efficiency at scale. You will lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats. You will continuously build, update, monitor, and troubleshoot device configurations while defining and enforcing robust security baselines to achieve 100% compliance. Additionally, you will design and maintain automation scripts and internal bots to eliminate manual IT and cross-team workflows, ensuring seamless integration of core work platforms with internal tools for real-time data sync.

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Technical Product Manager – ML & LLM Platforms** **The Opportunity** Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous. We are looking for a Technical Product Manager to own and evolve Agoda’s ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications. You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production-grade, optimized for experimentation, and increasingly native to AI-assisted development. This is a high-impact role in a fast-moving space, where the goal is not just to support ML/LLM applications — but to enable them to be created and iterated on with increasing automation and minimal human friction. **In This Role, You’ll Get to** * Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms * Shape how teams productionize ML models and LLM-powered applications * Identify platform gaps, scalability constraints, and optimization opportunities * Drive the evolution of our platform to support AI-native development workflows and coding agents **Requirements & Opportunity Discovery** * Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams * Translate complex technical needs into clear product requirements and prioritization frameworks * Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity * Balance experimentation flexibility with governance, safety, and cost efficiency **Execution & Delivery** * Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis * Partner closely with engineering to balance platform scalability, performance, and technical debt * Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems * Drive adoption through documentation, training, and internal evangelism **AI-Native Platform Evolution** * Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents * Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions * Help define guardrails and workflows that allow safe, reliable AI-assisted development **What You’ll Need to Succeed** * 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain * 2+ years of technical product or program management experience in fast-paced, high-scale environments * Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines) **Technical Depth** * Strong understanding of ML systems and model lifecycle management * Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.) * Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers * Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs **Leadership & Mindset** * Strong cross-functional leadership skills and ability to influence without authority * Comfortable operating in ambiguity and rapidly evolving technological landscapes * Excellent communication skills — able to translate between business, platform engineering, and AI application teams * Proactive, structured thinker with a strong problem-solving mindset * High ownership and bias for impact **Why This Role Is Unique** * You will shape how AI is built at scale inside Agoda. * You will influence the evolution of our internal platforms toward AI-native and agent-compatible development. * You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem. * Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide. ***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***