AI Principal Engineer

Evonik; Kuala Lumpur; On-site; MYR 320,000 - 520,000; Full time

Job summary

Evonik Malaysia is seeking an AI Principal Engineer to lead enterprise AI initiatives and deliver production-grade ML solutions. You will work hands-on with ML/DL, LLMs, RAG, and architect AI systems for industrial applications in a cloud-native context.

You will drive Azure-based design, MLOps, and end-to-end AI operations, collaborating with cross-functional teams and mentoring engineers while upholding governance and responsible AI practices.

Qualifications

• 10 years of experience in AI engineering, ML, software engineering, or data science, with enterprise AI production delivery.
• Hands-on expertise in ML, DL, generative AI, LLMs, RAG, and AI applications in business processes.

Skills

AI engineering

Machine learning

Deep learning

Generative AI

LLMs

RAG

Agentic AI

Model evaluation

Optimization

Responsible AI

End-to-end AI operations

AI systems architecture

Team leadership

Communication

Tools

Azure

Docker

Kubernetes

Git

CI/CD

APIs

SQL

Azure DevOps

Azure Machine Learning

Azure Databricks

Databricks

Job description

## AI Principal EngineerApply: Selangor: Full time: Posted Today: R52118**What we offer** At Evonik, you’re part of a global chemical company working in many sectors that go beyond chemistry. From lipids for tomorrow’s medicines, biosurfactants for green detergents, additives for plastics recycling or membranes to help drive forward the energy transition, you’ll play an essential part in helping the world’s most essential industries succeed. Our success hinges on a diversity of ideas powered by people, not egos. Whether you’re a scientist or engineer, new to the team or established, in business, production, or anything in between – we cheer each other on. Because we believe we can do anything. Explore everything. And Be Part of Something Special! **Find out more about the many benefits we offer:** https://www.evonik.com/en/careers/why.html **Meet the team and get to know the people behind Evonik:** https://www.evonik.com/en/news/meet-the-team.html**Requirements*** 10 years of experience in AI engineering, machine learning, software engineering, or data science, with a proven record of delivering enterprise-scale AI solutions to production.* Hands-on expertise in machine learning, deep learning, generative AI, LLMs, RAG, agentic AI, model evaluation, optimization, responsible AI, and industrial or business process AI applications.* Strong understanding of AI systems architecture, enterprise data architecture, Azure cloud-native AI platforms, API-first integration, secure platform design, and end-to-end AI operationalization.* Advanced Python proficiency, with solid experience in SQL, APIs, microservices, software architecture, Azure DevOps, Azure AI services, Azure Machine Learning, Azure Databricks, Docker, Kubernetes, Git, CI/CD, and modern engineering workflows.* Experience with MLOps, LLMOps, lifecycle management, monitoring, governance controls, deployment pipelines, performance management, and cloud-native platform engineering.* Knowledge of manufacturing or chemical process environments, process modelling and simulation, optimization, operations research, enterprise AI platforms, Microsoft 365, Power Platform, LeanIX, SAP BTP, Azure, and Databricks. **Languages**Business-fluent English. German language skills are an advantage. **Soft Skills**Team contributer, strong sense of ownership, hands-on mentality, technical leadership, and excellent communication skills in interdisciplinary business and technical environments.**Your Application**To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at www.evonik.com/en/careers.html.Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.**Your Talent Acquisition Manager:**Kelly Wong [C]Company isEvonik Malaysia