Head of AI Engineer

กรุงเทพฯ
งานประจำ
ฟูลไทม์

8 วันที่ผ่านมา

Job Description:About the RoleAs the Head of AI Engineering, you will lead and scale our AI Engineering function across enterprise deployments. You will define the technical vision, build and mentor a high-performing team, and ensure that AI solutions move beyond proof-of-concept into reliable, production-grade systems that drive measurable business impact.This is a player-coach role - you will both guide strategy and remain close to the technology. You will oversee multiple enterprise engagements, shape system architecture standards, and ensure delivery excellence across all implementations.You will own the success of AI delivery at scale - from technical direction and team capability to customer outcomes.What You'll DoAI Engineering Leadership

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

Enterprise AI Delivery Oversight

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

Agentic AI & System Architecture

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

Technical Strategy & Innovation

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

Product & Cross-functional Impact

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

Operational Excellence

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:Must-Haves

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

Data Wow

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