AI Principal Engineer

Evonik Industries AG; Selangor; On-site; MYR 180,000 - 300,000; Full time

Job summary

Evonik Industries AG is seeking an experienced AI engineer with a decade of expertise in AI, ML, data science, and software engineering. The role requires hands-on work with ML/DL, generative AI, LLMs, RAG, and responsible AI within enterprise AI platforms, data architecture, and cloud-native tools.

Key strengths include Python, SQL, APIs, microservices, and CI/CD, plus strong knowledge of Azure, Docker, Kubernetes, Git, and modern engineering workflows.

Qualifications

• 10 years of experience across AI engineering, ML, software or data science.
• Hands-on ML/DL, generative AI, LLMs, RAG, and responsible AI.
• Strong AI systems and data architecture knowledge.
• Advanced Python and SQL, APIs, microservices, and CI/CD.
• Experience with ML Ops, lifecycle management, monitoring and governance.
• Knowledge of manufacturing or chemical processes and related AI platforms.

Skills

AI engineering

Machine learning

Software engineering

Data science

Deep learning

Generative AI

LLMs

RAG

Model evaluation

Optimization

Responsible AI

Industrial AI

Business process AI

AI systems architecture

Enterprise data architecture

Azure cloud

API-first integration

Secure platform design

AI operationalization

Python

SQL

APIs

Docker

Kubernetes

CI/CD

Azure DevOps

Azure ML

Azure Databricks

Git

MLOps

LLMOps

Lifecycle management

Monitoring

Governance

Deployment pipelines

Performance management

Cloud-native platform engineering

Manufacturing AI

Process modelling

Operations research

SAP BTP

Power Platform

LeanIX

Databricks

Microsoft 365

Tools

Docker

Kubernetes

Git

Job description

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.