Product Security Architect 4 — Agentic AI & Security
Keysight Technologies · Singapore · R&D
About this role
Keysight Technologies is hiring a mid-level Cloud Security Engineer based in Singapore. The posting calls out experience with Azure, Kubernetes, TensorFlow, PyTorch.
- Role
- Cloud Security Engineer
- Function
- security
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Singapore
- Department
- R&D
- Posted
- May 7, 2026
More roles at Keysight Technologies
Job description
from Keysight Technologies careersKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
About the Role
We are seeking a highly skilled and experienced Product Security Architect to lead the architecture, design, and adoption of AI/ML‑driven capabilities within Keysight’s security automation solutions, integrated directly into Keysight’s Software Development Life Cycle (SDLC). This is an architect role focused on bringing scalable, production‑grade AI capabilities into enterprise development environments.
The role centers on introducing and scaling AI‑driven solutions, including machine learning, large language models (LLMs), and agentic workflows, to enhance automation, intelligence, and efficiency across the SDLC. You will architect systems that enable shift‑left automation, intelligent analysis of security and scan data, AI‑assisted testing and validation, and automated remediation workflows that improve accuracy, traceability, and release velocity.