Highlights
- Fixed bonus and performance bonus
- Hybrid Working and remote teaming
- Work from Anywhere
- Equality Welfare & Benefit (LGBTQA+)
- Global online training modules to personalized learning journey
- International Opportunities for Career Growth
- Community Support with Employee well-being resource groups
At Generali Thailand
We celebrate diversity and believe that different perspectives make us stronger. For this role, strong Thai communication skills are essential because you will work closely with our local team and collaborate on daily operations.
We are looking for someone who can:
- Speak and understand Thai confidently (reading and writing are not required)
- This requirement ensures smooth communication and effective teamwork. While we embrace diversity in all other aspects, this language skill is critical to the success of the role.
Job Title
Data Engineer (AI Platform)
About the Role
We are seeking a highly skilled, hands-on Data Engineer to design, architect, and optimize the enterprise data platform powering our AI ecosystem. This role bridges large-scale data engineering with advanced AI systems, ensuring our AI foundation platform is supported by high-performance pipelines, robust vector storage, and intelligent data governance.
Key Responsibilities
AI Data Architecture & Platform Support
- Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to power the enterprise AI Foundation Platform
- Co-own vector infrastructure with the AI Engineer Specialist, including embedding storage, indexing strategies, and fast vector search retrieval
- Build automated ETL/ELT pipelines to transform raw enterprise data into AI-ready formats (chunking, metadata tagging, and cleaning)
Data Governance, Metadata & Cataloging
- Implement metadata pipelines for data catalog and data dictionary services, including schema capture, lineage tracking, and audit logging
- Enforce data governance, access controls, and privacy compliance across all AI-related data stores
- Design and maintain operational data lineage for transparency and auditability of data flows into production AI models
Advanced AI Component Integration
- Develop and optimize data ingestion pipelines for OCR, NLP processing, recommendation systems, and multi-modal AI inputs
- Optimize data tiering and caching strategies to reduce latency and infrastructure costs for live AI workloads
- Build secure, scalable data connectors linking legacy enterprise databases with modern LLM frameworks and autonomous agents
Collaboration & Data Excellence
- Partner with the AI Engineer Specialist to ensure seamless data delivery for high-concurrency production deployments
- Bridge traditional data engineering with modern MLOps, implementing automated data validation, quality checks, and drift detection
- Provide data expertise during architecture reviews, ensuring scalable data design across the AI project lifecycle
Qualifications / Requirements
- Bachelor's or Master's degree in Computer Engineering, Computer Science, Data Engineering, or a related technical field
- 5+ years of experience in Data Engineering, Big Data, or Distributed Systems, with strong production experience in AI/ML environments
- Proven experience building large-scale data infrastructure for mission-critical applications
Technical & AI Data Framework Expertise
- Strong proficiency in Python and SQL, with experience in big data tools (e.g., Spark, Kafka, or cloud equivalents)
- Hands-on expertise in vector databases and unstructured data processing
- Understanding of data chunking strategies, text extraction (OCR/NLP pipelines), and metadata orchestration
- Familiarity with cloud platforms (AWS, Azure, or GCP), including data lakes, warehouses, and cloud-native security
- Experience implementing data catalogs, schema evolution, and automated data quality monitoring
Leadership & Soft Skills
- Strong technical communication skills to align data pipeline designs with AI engineering requirements
- Analytical and problem-solving mindset, with the ability to work with complex and unstructured data under tight deadlines
- Strong verbal and written English communication skills for cross-functional and vendor collaboration
Why Join Us
- Drive high-quality, AI-ready data ingestion at scale, accelerating time-to-market for enterprise AI initiatives
- Build a secure and compliant data foundation to support AI model interactions and enterprise data privacy
- Eliminate data bottlenecks and deliver sub-second latency for enterprise RAG and search systems
- Play a key role in evolving traditional data platforms into graph- and vector-enabled AI data infrastructure
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