Position Details
About this role
This role involves leading the architecture and deployment of AI-powered fraud detection and risk management systems on a global scale, focusing on real-time decisioning and automation.
Key Responsibilities
- Own technical architecture and design
- Integrate Generative and Agentic AI into workflows
- Benchmark vendor and open source solutions
- Build and operate ML in production
- Simplify platform architecture
Technical Overview
The environment includes cloud-native architectures, AI and machine learning models, vendor and open source solutions, with a focus on performance and risk management.
Ideal Candidate
The ideal candidate is a senior AI engineer with extensive experience in designing and implementing real-time, cloud-native AI solutions, including Generative and Agentic AI, for global-scale applications. They possess strong leadership skills and a deep understanding of risk management and performance benchmarking.
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 Generative AI or Agentic AI, No cloud-native architecture experience, No leadership or architecture design background
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