Data Wow Co., Ltd.

Head of AI Engineering

Data Wow Co., Ltd.

full-time

Posted on:

Location Type: Hybrid

Location: Bangkok • Thailand

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Define and drive the overall AI engineering strategy, architecture standards, and best practices
  • Build, mentor, and lead a team of AI engineers across multiple projects
  • Establish scalable delivery processes, code standards, and quality benchmarks
  • Create a strong engineering culture focused on ownership, speed, and impact
  • Oversee end-to-end delivery of AI solutions across enterprise clients
  • Ensure teams deliver from discovery → design → deployment → adoption successfully
  • Act as escalation point for complex technical or delivery challenges
  • Work closely with customers and stakeholders to ensure solutions align with real business needs
  • Define architecture patterns for multi-agent systems, orchestration, and AI workflows
  • Guide teams in building reliable, production-ready agentic systems (LangChain, LangGraph, etc.)
  • Ensure best practices in:
  • - LLM orchestration
  • - RAG pipelines
  • - evaluation & monitoring
  • - human-in-the-loop design
  • Stay at the forefront of AI advancements (LLMs, agents, infra) and translate them into practical use cases
  • Evaluate tools, frameworks, and infrastructure to standardize across teams
  • Drive internal innovation — reusable frameworks, templates, and tooling
  • Identify patterns across enterprise projects and translate them into product opportunities
  • Partner with Product and Engineering leaders to influence roadmap
  • Drive development of internal platforms, reusable assets, and accelerators
  • Define KPIs for delivery success (adoption, performance, ROI)
  • Ensure systems are scalable, observable, and maintainable
  • Improve delivery speed through reusable components and standardized workflows

Requirements

  • 5+ years in software engineering, with 3–5+ years in AI/ML systems in production
  • Proven experience leading engineering teams or technical organizations
  • Deep hands-on experience with:
  • - LLMs (OpenAI, Anthropic, Gemini, OSS models)
  • - Prompt engineering, RAG, fine-tuning, evaluation
  • - Agentic AI systems (multi-step reasoning, tools, memory)
  • Strong system design skills across APIs, cloud (AWS/GCP/Azure), and data systems
  • Experience working with enterprise clients or complex environments
  • Strong ownership mindset — accountable for outcomes, not just delivery
Benefits
  • Hybrid work
  • Health insurance
  • Annual health check
  • Laptop and other equipments
  • Free snacks & drinks
  • Weekly massage
  • Grab transportation credit
  • Education allowance
  • Performance bonus
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI engineeringarchitecture standardscode standardsquality benchmarksLLMsprompt engineeringRAGagentic AI systemssystem designcloud
Soft Skills
leadershipmentoringownership mindsetcommunicationcollaborationproblem-solvinginnovationaccountabilitystakeholder engagementteam building