The AI Business Partner (AI Expert) acts as the strategic bridge between business functions and the AI Center of Excellence, identifying, shaping, and accelerating high-value AI opportunities across the organization. This role partners closely with business stakeholders to understand operational challenges, translate them into AI use cases, and drive the end-to-end lifecycle of AI initiatives from ideation and business case development to implementation and value realization. The AI Business Partner promotes AI adoption, facilitates workshops and opportunity assessments, aligns AI initiatives with business priorities, and ensures solutions deliver measurable business outcomes while adhering to governance, security, and responsible AI standards.
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Kyndryl is hiring a Technical Project Manager in Bangkok to lead enterprise automation and infrastructure transformation initiatives across complex IT environments. The role coordinates across infrastructure, middleware, cloud, database, network, security, and application teams, translating business objectives into executable project plans and overseeing automation implementation from initiation through production deployment and post-implementation review. The position requires at least 7 years in IT infrastructure, cloud, middleware, enterprise systems, or technology operations, plus 3 years leading technical infrastructure, cloud, DevOps, automation, or enterprise application projects. Hands-on knowledge of Red Hat Ansible Automation Platform is highly desirable, along with fluency in Thai and English and experience managing cross-functional teams in demanding environments.
The role sits within Regional FBS and works with warehouse, finance, and seller teams to identify valuable operational problems and deliver AI solutions used in day-to-day work. Responsibilities include discovering and prioritizing use cases, building AI agents, automation, computer vision systems, and simple web applications, while supporting pilots, deployment, adoption, measurement, and rollout. The successful candidate will bring at least four years of experience shipping software, data, or machine-learning products. Requirements include strong Python and SQL, hands-on LLM and computer vision experience, deployment skills with Docker, cloud services, and CI/CD, and the ability to build web apps or dashboards. Regular warehouse visits and clear communication in Thai and English are required.
Lead Software Engineer role within LSEG's Time Series team based in Bangkok. The position involves leading technical solutions and design within an agile team, translating business and technical requirements into detailed design specifications, developing and integrating application code, and ensuring quality through automated tests and code reviews. The role also includes mentoring junior staff, collaborating with product owners, and driving continuous improvements in operational efficiency. Candidates need a Bachelor's or Master's degree in Computer Science or Computer Engineering and 8+ years of experience in software architecture design and development. Required expertise includes Java, Python and/or JavaScript, distributed systems, cloud technologies, SQL and databases, agile methodologies, and secure coding practices. Experience with TDD/BDD and emerging technologies such as AI is advantageous.
The Head of IT Quality Assurance Engineering leads the QA transformation for a major Thai bank, driving test automation and AI-driven testing across banking and financial services platforms. Responsibilities include defining QA strategy, scaling automation frameworks across web, mobile, and API layers, piloting AI/ML testing tools, overseeing non-functional testing, and ensuring compliance with financial regulations. The role reports to executive leadership on quality KPIs and SLAs while managing a team of QA engineers, leads, and vendor partners. Qualifications require 10+ years in QA with strong hands-on automation experience plus 5+ years in QA leadership, deep expertise in Banking/FinTech, and proficiency with Selenium, Cypress, Playwright, Appium, CI/CD, cloud, and performance testing tools. A bachelor's or master's in computer science or engineering is required, with enthusiasm for AI-driven testing practices.
The Department Head of IT Quality Assurance Engineering at Kiatnakin Phatra Bank Public Company Limited leads the bank's QA transformation in Bangkok. Responsibilities include defining and executing the overall QA strategy toward a highly automated CI/CD model, scaling test automation frameworks across web, mobile, and API layers, piloting AI/ML testing tools, and overseeing non-functional testing such as performance, load, stress, and security testing. The role also manages compliance with financial regulations, reports quality KPIs to executive leadership, and leads a team of QA Engineers, QA Leads, and vendor partners. Candidates must have 10+ years of QA experience with a strong hands-on automation background plus 5+ years in QA leadership, and deep expertise in Banking, FinTech, or Financial Services. Required technical skills include automation tools such as Selenium, Cypress, Playwright, and Appium, along with APIs, CI/CD, cloud, and performance testing. A Bachelor's or Master's degree in computer science, Engineering, or equivalent is required.
The Server and Cloud Management role at Kiatnakin Phatra Bank is responsible for designing, implementing, and managing Linux-based server and cloud systems. Key duties include installing and maintaining Linux operating systems, monitoring performance, managing user accounts, ensuring system security, and developing Shell Scripts to automate routine tasks. The role also involves migrating on-premise applications to the cloud and debugging cloud stacks. Candidates should hold a Bachelor's degree in IT, Computer Science, or a related field, with at least 3 years of Linux system administration experience, 2 years in storage system administration, and 1 year in system hardening. Proficiency in Linux distributions (RHEL, CentOS, Ubuntu), storage protocols (iSCSI, NFS, Fibre Channel), scripting (Bash, Python), and hardening tools (SELinux, AppArmor) is required.
Sertis, a Bangkok-based Data and AI engineering and solutions company and member firm of Andersen Consulting, is hiring an Enterprise Architect on a fixed-term contract. The role defines and leads architecture direction for large-scale retail and enterprise platforms, translating business strategy into target-state architecture and technology roadmaps. Duties include defining enterprise architecture vision and multi-year roadmaps, developing business capability maps, establishing architecture standards and reference architectures, leading the architecture review board, overseeing application and technology portfolio rationalization, defining policies for technology adoption, integration, security and compliance, guiding solution architects, and evaluating emerging technologies such as cloud-native, event-driven, and API-led architectures. Applicants need 8+ years in technology with 3-5 years in enterprise or senior solution architecture, TOGAF familiarity, cloud platform knowledge, and executive communication skills. Thai citizens only.
Trustonic is seeking a Sales Engineer to partner with commercial teams across APAC and provide technical expertise throughout the sales cycle. The role covers discovery, qualification, solution design, demonstrations, technical proposals, implementation handover, customer meetings, trade shows, and approximately 25–40% travel. The successful candidate will work with Sales, Product, Engineering, and Delivery teams, design solutions spanning device locking, SaaS, APIs, cloud platforms, and secure technologies, and translate customer requirements into scalable proposals. Relevant experience includes sales engineering, pre-sales, solutions engineering, technical consulting, enterprise customers, APIs, webhooks, cloud architectures, SaaS, or the smartphone, mobile, telecoms, and device-manufacturing ecosystems.
CP Axtra (Makro Pro) is hiring a Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role focuses on building scalable data pipelines and ETL processes, optimizing data warehouses and data lakes, and ensuring data quality, consistency, and reliability across data systems. The engineer will collaborate with data scientists, analysts, and cross-functional stakeholders to meet data requirements, develop data models and schemas, implement security and access controls, optimize query performance, and evaluate new data technologies. The position also involves mentoring junior data engineers and providing technical leadership.