PRINCIPAL INFORMATION SECURITY

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PRINCIPAL INFORMATION SECURITY

6/22/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

TE Connectivity is seeking a hands-on, and highly technically skilled Enterprise AI Security Architect. This is a strategic role focused on reviewing and securing AI systems, guiding AI COEs (Centers of Excellence) and AI application teams to align with enterprise standards articulated both in our AI security framework and the overall AI standards (fit for use, technology stacks, etc.) defined by the AI leadership teams. Security design guidance should take into consideration the risks unique to artificial intelligence and support the overall SRM (Security and Risk Management) COE with managing the risk, and communicating / collaborating with our GRC (Governance, Risk and Compliance) tower. It's a hybrid position combining traditional security architecture with emerging AI security governance and risk management. You will be a partner with Security Engineering, Infrastructure, Legal, Compliance, Business leadership and all the AI COEs to embed secure-by-design principles, influence roadmaps, and run regional architecture and compliance reviews that balance business velocity, with risk and security best practices. Responsibilities:

AI Security Architecture, Design & Review (75%)

Define & maintain target-state AI security architecture, reference patterns, and security/compliance requirements Conduct security architecture/design reviews for AI systems across on-prem, cloud, and SaaS environments Collaborate with Security Engineering/SRM to align platform & application security standards and embed into SDLC Partner with AI teams to gather, document, and understand requirements Establish logging/telemetry standards and control verification Create clear, accurate documentation (designs, review outcomes, standards) in ESA repositories

Technical Skills

Strong understanding of AI/GenAI/Agentic AI concepts, AI agents, MCP, LLMs, and security controls Expertise in authentication, authorization, integration, data protection, model security, threat protection, and guardrails Deep knowledge of cryptography, network security, protocols, and systems Experience with SIEM, IDS/IPS, DLP, endpoint protection, vulnerability tools Cloud security expertise (AWS, Azure required; GCP/Ali preferred) Enterprise architecture knowledge (TOGAF) Programming/scripting (Python, PowerShell, JavaScript, SQL) OS knowledge (Windows, Linux, Unix) Compliance