AI Architect – Test Automation

Mindteck

Penang

On-site

MYR 180,000 - 300,000

Full time

4 days ago

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Job summary

Jora Malaysia seeks an experienced AI Architect - Test Automation to lead the design and development of AI-driven test automation solutions. The ideal candidate blends software engineering excellence with hands-on AI/ML, Generative AI, LLMs, and AI agents.

Role focuses on modernizing software testing using AI to enhance coverage and efficiency. You will collaborate across engineering teams to architect, develop, deploy, and evaluate scalable AI-driven testing capabilities.

Qualifications

Bachelor’s or Master’s degree in CS/AI/ML or related field.
10+ years in software engineering, AI/ML, test automation, or test engineering, with leadership experience.
Hands-on experience designing and developing AI/ML solutions, not just using tools.
Strong Python and at least one other language (e.g., Java/C++/C#/JS/TS).
Experience designing, developing, and implementing test automation frameworks.
Solid understanding of software testing methodologies, CI/CD, and architecture.
Experience applying ML/Generative AI, LLMs, or AI agents to real-world problems.
Experience building AI/ML pipelines (data prep, evaluation, deployment, monitoring).
Understanding of APIs, distributed systems, microservices, and system integration.
Hands-on with Git, CI/CD pipelines, and modern DevOps.

Responsibilities

Lead design and development of AI-driven test automation solutions.
Define architecture and deploy scalable AI/ML solutions.
Collaborate across engineering teams to integrate with existing automation frameworks.
Establish scalable deployment and evaluation practices for AI models.
Drive CI/CD and DevOps practices in automated testing environments.

Skills

Python

Java

C++

JavaScript

TypeScript

AI/ML

Test automation

CI/CD

Distributed systems

API integration

Software engineering

Leadership

Education

Bachelor's or Master’s in CS/AI/ML/SWE

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

LangGraph

LlamaIndex

Selenium

Playwright

Robot Framework

Docker

Kubernetes

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

We are seeking an experienced AI Architect - Test Automation to lead the design and development of AI-driven test automation solutions. The ideal candidate will combine strong software engineering and test automation expertise with hands-on experience in AI/ML, Generative AI, LLMs, and AI agents.

The role will focus on applying AI to modernize and enhance software testing, improve test coverage and efficiency, and develop intelligent or autonomous test automation capabilities. The successful candidate will work across engineering teams to define architecture, develop AI/ML solutions, integrate them with existing automation frameworks, and establish scalable deployment and evaluation practices.

Role Overview

We are seeking an experienced AI Architect - Test Automation to lead the design and development of AI-driven test automation solutions. The ideal candidate will combine strong software engineering and test automation expertise with hands-on experience in AI/ML, Generative AI, LLMs, and AI agents.
The role will focus on applying AI to modernize and enhance software testing, improve test coverage and efficiency, and develop intelligent or autonomous test automation capabilities. The successful candidate will work across engineering teams to define architecture, develop AI/ML solutions, integrate them with existing automation frameworks, and establish scalable deployment and evaluation practices.

Required Qualifications & Experience

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Computer Engineering, or a related discipline.
10+ years of relevant experience in software engineering, AI/ML, test automation, or test engineering, with significant experience in technical leadership, solution architecture, or system architecture.
Strong hands-on experience designing and developing AI/ML solutions, rather than primarily consuming or integrating off-the-shelf AI tools.
Strong programming experience in Python and proficiency in at least one additional programming language, such as C++, Java, C#, JavaScript, or TypeScript.
Strong experience designing, developing, and implementing test automation frameworks.
Strong understanding of software testing methodologies, test automation architecture, test strategy, and CI/CD practices.
Demonstrated experience applying Machine Learning, Generative AI, LLMs, or AI agents to real-world engineering and software development problems.
Experience designing AI/ML pipelines, including data preparation, model evaluation, validation, deployment, and monitoring.
Strong understanding of APIs, software architecture, distributed systems, microservices, and system integration.
Hands-on experience with Git, CI/CD pipelines, and modern DevOps practices.
Strong analytical, troubleshooting, and problem-solving skills, with the ability to translate complex engineering challenges into scalable technical solutions.
Strong communication and stakeholder-management skills, with the ability to work effectively across software, test, AI/ML, and product engineering teams.

Strongly Preferred Qualifications

Experience building AI-powered or autonomous test automation solutions.
Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, agentic AI, and AI orchestration frameworks.
Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, LlamaIndex, or equivalent technologies.
Experience with test automation technologies such as Selenium, Playwright, Appium, Robot Framework, pytest, or equivalent tools.
Experience integrating AI/ML solutions with existing test automation frameworks and CI/CD pipelines.
Experience working with embedded systems, IoT, wireless communications, telecommunications, consumer electronics, automotive, or other hardware/software products.
Knowledge of RF, wireless protocols, LTE, DMR, TETRA, or radio communication systems would be a significant advantage.
Experience using AI/ML techniques to analyze large volumes of test logs, telemetry, performance data, or system data.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage.
Experience with Docker and Kubernetes is an advantage.
Experience with AI model observability, evaluation frameworks, guardrails, or responsible AI practices is an additional advantage.