Summary
✨ AI‑Generated
A senior AI engineering position embedded with business teams to identify operational challenges and build production-grade solutions. You will develop data pipelines, APIs, integrations, applications, AI agents, automations, and data products, taking ownership from architecture through deployment and monitoring while measuring business impact.
Highlights
High-impact senior engineering role with end-to-end ownership, direct exposure to real operational problems, rapid prototyping with live users and data, and the opportunity to apply AI and LLM technologies to measurable business outcomes.
Description
Embed with BU teams to understand operational problems firsthand, then design solutions that fit their real-world contextAbility to build production-grade software end-to-end — data pipelines, integrations, APIs, and applicationsPrototype and iterate rapidly in the field, validating against live data and real users before scalingApply AI/ML and LLM capabilities where they create real leverage — building agents, automations, and data productsIntegrate solutions with existing platforms, data sources, and enterprise systems (cloud, data warehouse, internal APIs)Own technical delivery from architecture and implementation through deployment, monitoring, and handoverPartner with Core Tech to ensure solutions meet platform, security, and data-governance standards for productionInstrument solutions to measure impact, tracking BU Adoption Rate and P&L outcomes, and iterate on the resultsCommunicate progress, risks, and technical trade-offs clearly to BU leaders and the Innovation Steering CommitteeSet technical standards, and contribute reusable patterns to the Innovation team’s playbook
Qualification:
Proven experience as a software, solutions, or forward deployed engineer, shipping production systems in a customer or BU-facing roleStrong full-stack engineering skills — building applications, APIs, and data pipelines in a modern language (e.g., Python, TypeScript, Go)Hands-on with cloud and data platforms, and system integration (e.g., Azure, Databricks, SQL, REST APIs)Practical experience applying AI/ML or LLMs to real problems — prompt engineering, agents, RAG, or model integrationExcellent communication in both Thai and English, able to work directly with BU stakeholders and present technical trade-offs to executivesComfortable owning delivery end-to-end and iterating fast in ambiguous, real-world environmentsAble to turn vague business problems into deployed, adopted solutions
