Position Details
About this role
This role involves leading the design, implementation, and deployment of advanced Generative and Agentic AI solutions within a cloud-native environment, focusing on performance, security, and scalability.
Key Responsibilities
- Lead AI system architecture
- Implement Generative AI solutions
- Optimize ML performance
- Develop MLOps infrastructure
- Ensure system security and compliance
Technical Overview
The technical scope includes AI architecture, cloud platforms like Azure and Google Cloud, MLOps tools such as Kubeflow and Docker, and advanced AI pipelines like RAG with vector databases.
Ideal Candidate
The ideal candidate is a senior AI architect with extensive experience in designing and deploying Generative and Agentic AI solutions in cloud environments. They possess strong leadership skills, a proven track record in MLOps, and expertise in scalable AI system architecture.
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 cloud-native AI solutions, No background in MLOps or system architecture, Unfamiliarity with Azure or Google Cloud platforms, No leadership experience in AI projects
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