AI Principal Engineer
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Before you apply
LocationSelangor
SeniorityLead
Experience10+ yrs
Company size10,000+ people
PostedOct 13, 2026 · 3w ago
Verified live19h ago
At a glanceSummarised by Seekless from the posting.
10 years of experience in AI engineering, machine learning, software engineering, or data science
Proven record of delivering enterprise-scale AI solutions to production
Hands-on expertise in machine learning
Hands-on expertise in deep learning
Hands-on expertise in generative AI
Hands-on expertise in LLMs
Hands-on expertise in RAG
Hands-on expertise in agentic AI
Hands-on expertise in model evaluation
Hands-on expertise in optimization
Hands-on expertise in responsible AI
Hands-on expertise in industrial or business process AI applications
Strong understanding of AI systems architecture
Strong understanding of enterprise data architecture
Strong understanding of Azure cloud-native AI platforms
Strong understanding of API-first integration
Strong understanding of secure platform design
Strong understanding of end-to-end AI operationalization
Advanced Python proficiency
Solid experience with SQL
Solid experience with APIs
Solid experience with microservices
Solid experience with software architecture
Solid experience with Azure DevOps
Solid experience with Azure AI services
Solid experience with Azure Machine Learning
Solid experience with Azure Databricks
Solid experience with Docker
Solid experience with Kubernetes
Solid experience with Git
Solid experience with CI/CD
Solid experience with modern engineering workflows
Experience with MLOps
Experience with LLMOps
Experience with lifecycle management
Experience with monitoring
Experience with governance controls
Experience with deployment pipelines
Experience with performance management
Experience with cloud-native platform engineering
Knowledge of manufacturing or chemical process environments
Knowledge of process modelling and simulation
Knowledge of optimization
Knowledge of operations research
Knowledge of enterprise AI platforms
Knowledge of Microsoft 365
Knowledge of Power Platform
Knowledge of LeanIX
Knowledge of SAP BTP
Knowledge of Azure
Knowledge of Databricks
Business-fluent English
Team contributor
Strong sense of ownership
Hands-on mentality
Technical leadership
Excellent communication skills in interdisciplinary business and technical environments
German language skills
Skills
Python
SQL
APIs
microservices
Azure DevOps
Azure AI services
Azure Machine Learning
Azure Databricks
Docker
Kubernetes
Git
CI/CD
MLOps
LLMOps
Microsoft 365
Power Platform
LeanIX
SAP BTP
Azure
Databricks
What we offer
About the company
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 is
Evonik Malaysia