AI Architect – Test Automation

Mindteck; Penang; On-site; MYR 180,000 - 280,000; Part time

Job summary

Mindteck, Inc. seeks an experienced AI Architect – Test Automation to lead the design and development of AI-driven test automation solutions.

The role blends software engineering, test automation, and hands-on AI/ML expertise to modernize testing and improve coverage across engineering teams. The successful candidate will architect AI/ML pipelines, implement scalable deployments, and drive CI/CD practices while collaborating with product and software teams to translate complex problems into

Qualifications

• 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 leadership experience.
• Hands-on design and development of AI/ML solutions, not just integration of tools.
• Experience designing and implementing test automation frameworks.
• Understanding of software testing methodologies, automation architecture, CI/CD.
• Experience applying AI/ML to real-world engineering problems.
• Experience designing AI/ML pipelines (data prep, eval, deployment, monitoring).
• Strong knowledge of APIs, distributed systems, microservices, integration.
• Hands-on with Git, CI/CD, and modern DevOps practices.
• Strong analytical, troubleshooting, problem-solving, and cross-team communication.

Responsibilities

• Lead design and development of AI-driven test automation solutions.
• Apply AI/ML to modernize software testing, improve coverage and efficiency.
• Define architecture and integrate AI with existing automation frameworks.
• Collaborate across engineering teams for scalable deployment and evaluation.

Skills

AI/ML architecture

Test automation design

CI/CD practices

Distributed systems

Microservices

Git

DevOps

Stakeholder management

Communication

Problem solving

Education

Bachelor's/Master's in CS/AI/ML/SE/CE

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Selenium

Docker

Kubernetes

LLMs

Job description

Find work that actually fits - with teams building things that matter

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 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.

Generative AI and LLMs

AI Agents and Agentic Automation

Software Engineering

CI/CD and DevOps

Distributed Systems and API Integration

AI/ML Model Evaluation and Deployment

Technical Leadership and Solution Architecture

Cross-functional Collaboration

• Job Location Penang, Malaysia
• Job Type: Contract
• Experience 10 Years
• Education Bachelor's/ Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Computer Engineering, or a related discipline.