Job Overview

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:

Candidate Desired Profile:

Qualifications

Must-Have

• 10+ years in IT and cybersecurity with deep experience across multiple fields like security architecture and regional compliance
• Proven track record within enterprise security architecture and regulatory compliance programs
• Hands-on technical expertise with modern cloud services (security / platform / IAM / Organizational control policies)
• Hands-on experience with cloud hosted AI and ML building block services (AWS Bedrock, Bedrock Guardrails, Azure Foundry / Cognitive Services, SageMaker AI, S3, etc.)
• Expertise in IAM concepts, especially in the services built in AWS and Azure
• Strong grasp of ISO 27001, NIST CSF/800-53, and major regulatory regimes
• Ability to translate technical risk into business impact
• Presentation skills (technical & executive)
• Organized, articulate, detailed orientated
• Ability to multi-task, prioritize, work independently, and strong time management skills

Nice-to-Have

• Experience in highly regulated or high-scale environments
• Background in threat modeling and quantitative risk
• Exposure to Cybersecurity, Compliance and Data Governance
• General knowledge of platform technologies and best practices (servers, storage, compute, networking)

Certifications (preferred, not required)

• CISSP, CISM, CRISC, CCSP
• Architecture: SABSA, TOGAF
• Compliance: ISO 27001 Lead Implementer/Lead Auditor, PCI ISA/QSA

Core Competencies

• Technical AI/Cloud Depth
• Risk & Compliance Acumen
• Engineering Mindset
• Influence & Communication
• Ownership & Delivery

Success Measures / KPIs

• Compliance posture
• Risk reduction
• Architecture assurance
• DevSecOps integration
• Stakeholder satisfaction

Tools & Platforms

• Cloud & Platform: Azure/AWS/GCP/AliCloud, Kubernetes, service mesh
• Identity & Access: Entra ID/Azure AD, AWS IAM, Delinea, Okta, Ping, PAM, Secrets mgmt.
• Sec Engineering: SAST/DAST/IAST, SCA/SBOM, IaC scan, policy-as-code
• Detection & Response: EDR/XDR, SIEM/SOAR, CNAPP/CSPM, WAF/API security
• Red/Blue/Purle team exercises and pen test experience

Education

Bachelor degree in Computer Science, Information Security, Engineering, or equivalent experience. Advanced degree a plus

Equal Opportunity Statement

TE Connectivity is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

Competencies