Expert, AI Architect

True Corporation · Media & Entertainment · Telecommunications · Master's Degree · 1 month ago

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Salary

≈ $26k – $61k per year (Estimated)

Location

In office (Thailand)

Seniority

Architect

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Sep 18, 2026.

Overview

Company

Impact

Profile match

True Corporation

True Corporation is Thailand's largest telecommunications operator, formed in 2023 by merging True, part of the Charoen Pokphand conglomerate, with the Norwegian-backed rival dtac. The combined group serves roughly fifty million mobile subscribers alongside fixed broadband, pay television through TrueVisions and a growing enterprise business, giving it a market position closely matched with the state-linked operator AIS. Beyond connectivity it runs True IDC, one of the largest data centre and cloud operators in Southeast Asia, and the TrueID streaming and content platform, positioning itself as a converged telecom and digital services company.

true.th · HQ: Bangkok, Thailand · Data Centers & Colocation · Streaming & OTT Platforms · Broadband · Mobile Networks · 501-1000 employees · Est. 1990

Job Summary

Define and lead enterprise AI architecture strategy, platforms, and standards to enable scalable, secure, and responsible AI adoption across business units. Accountable for end-to-end architecture governance, platform capability, and technical direction to ensure successful delivery of AI/GenAI solutions at scale and measurable business impact.

Job Responsibilities*

Define and own enterprise AI/GenAI architecture blueprint and standards
Establish target-state architecture aligned with business and data strategy
Act as ultimate architecture authority across all AI initiatives
Ensure integration with enterprise risk, data governance, and cybersecurity standards
Own strategy and design of enterprise AI platforms, shared services, and reusable components
Ensure platforms support scalability, reusability, and cross-business adoption
Provide technical direction and architecture governance across all AI use cases
Ensure solutions are production-grade, scalable, and aligned with enterprise architecture
Accountable for architecture quality, system performance, and reliability at scale
Define standards for monitoring, optimization, and performance tuning
Define and enforce Responsible AI, security, and compliance architecture frameworks
Ensure integration with enterprise risk, data governance, and cybersecurity standards
Act as technical authority for AI risk mitigation
Own evaluation and selection of AI technologies, tools, and platforms
Establish enterprise-wide architecture patterns, design standards, and reusable assets

Qualifications

IT, Data Science, AI - MBA is a plus
Experience with MLOps/DevOps (CI/CD pipelines, monitoring, model deployment)
Experience working in complex enterprise environments with data privacy, security, and regulatory requirements
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Claude, Llama, or equivalents)
Strong background in AI architecture, ML engineering, GenAI system design, or Applied AI
Deep understanding of RAG, vector stores, embeddings, prompt engineering, guardrails
Excellent communicator capable or bridging technical teams and business sponsors

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