Product Security Architect 4 — Agentic AI & Security

Key Responsibilities: 

AI Architecture & Strategy (Primary) 

• Define and own the AI/ML architecture roadmap for the Keysight’s security solutions. 

• Design scalable architectures for integrating ML models, LLMs, and agentic AI workflows into security solutions services. 

• Establish architectural patterns, guardrails, and best practices for production‑grade AI systems. 

• Evaluate and select appropriate AI/ML technologies, frameworks, and platforms aligned with enterprise constraints. 

Security solutions Enablement via AI 

• Lead the introduction of AI capabilities to improve Keysight internal developed security solutions areas such as software integration into our security solutions, analysis automation, prioritization, signal correlation, and decision support. 

• Partner with Product Security and Software R&D teams to embed AI capabilities into existing security solutions pipelines and platforms. 

• Guide architectural decisions that balance AI innovation with system reliability, scalability, auditability, and maintainability. 

Technical Leadership & Governance 

• Act as technical authority for AI‑related design decisions across security solutions initiatives. 

• Mentor and guide engineers on AI architecture, system integration, and design trade‑offs. 

• Review designs and implementations to ensure alignment with architectural standards. 

• Influence cross‑team adoption of AI capabilities without direct authority. 

Collaboration & Stakeholder Engagement 

• Work closely with Product Owners, Security Engineers, Software Architects, and Engineering Leadership. 

• Translate business and security solutions needs into clear AI architecture requirements. 

• Communicate complex AI concepts and architectural decisions to both technical and non‑technical stakeholders. 

Must Haves: 

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, AI/ML, or a related field. 

• 8+ years of overall software R&D experience, including system design and architecture roles. 

• 5+ years of hands‑on AI/ML architecture and implementation experience, including: 

• Designing end‑to‑end AI/ML system architectures for enterprise platforms 

• Integrating ML models, LLMs, or agentic workflows into production systems 

• Defining architectural standards, patterns, and best practices for AI solutions 

• Strong software engineering foundation (data structures, system design, APIs, distributed systems). 

• Proven ability to operate independently, drive architectural decisions, and lead technical directions. 

• Excellent communication and cross‑functional collaboration skills. 

We Value:  

• Master’s degree in Computer Science, Computer Engineering, Software Engineering, AI/ML, or a related technical discipline. 

• Exposure to product security, software security, or DevSecOps environments, including collaboration with security or platform teams.  

• Familiarity with security automation architectures, vulnerability management workflows, and secure SDLC implementation practices.  

• Experience with MLOps frameworks, model lifecycle management (training, deployment, monitoring), and AI governance controls.  

• Hands‑on experience with modern AI/ML and LLM ecosystems, such as TensorFlow, PyTorch, HuggingFace, and Azure/OpenAI‑based services, including integration into production systems.  

• Proven experience designing distributed systems with auditability, explainability, traceability, and compliance considerations built into the architecture. 

• Exposure to cloud security or container/Kubernetes security in the context of software development pipelines. 

• A passion for continuous improvement and learning 

• Excellent problem-solving skills and attention to detail 

• Proven ability to work cross-functionally and influence without authority