Position Details
About this role
This role involves leading the development and scaling of enterprise-grade Generative AI platforms, focusing on architecture, cloud-native deployment, and operational excellence.
Key Responsibilities
- Lead AI engineering teams
- Architect Generative AI platforms
- Drive cloud-native adoption
- Establish MLOps/LLMOps practices
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Azure cloud services, Kubernetes, containerization, MLOps/LLMOps, and modern Agile/DevOps practices for AI platform development.
Ideal Candidate
The ideal candidate is a senior AI platform engineer with extensive experience in building and scaling Generative AI solutions, particularly with Large Language Models and cloud-native architectures on Azure. They possess strong leadership skills and a solid understanding of MLOps and modern Agile practices.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Azure cloud platform, No leadership experience in AI engineering, Absence of Generative AI or LLM experience
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