PRINCIPAL INFORMATION SECURITY
TE Connectivity · Bengaluru · onsite · Posted 28d ago
Undisclosed5–8 yrsfulltimeSourced from
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About this role
Job Summary
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
- 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 knowledge (ISO 42001, EU AI Act, NIST AI RMF, GDPR, US AI frameworks)
- Strong analytical/problem-solving and risk assessment capability
- Excellent communication for technical non-technical audiences
- Strategic thinking aligned to business needs and risk-based decisions
- Collaboration across global teams and stakeholders
- Leadership, mentoring AI security champions, driving initiatives
- Support AI security frameworks, standards, and policies aligned to regulations and commitments
- Collaborate with Security Engineering, Cyber Assurance, IAM, and Compliance teams
- Support incident response, control implementation, IAM, and data protection governance
- Define measurable controls, manage exceptions, and risk acceptance
- Enable continuous control validation and control-as-code
- 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
- 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)
- Cissp, CISM, crisc, CCSP
- Architecture: SABSA, TOGAF
- Compliance: ISO 27001 Lead Implementer/Lead Auditor, PCI ISA/QSA
- Technical AI/Cloud Depth
- Risk Compliance Acumen
- Engineering Mindset
- Influence Communication
- Ownership Delivery
- Compliance posture
- Risk reduction
- Architecture assurance
- DevSecOps integration
- Stakeholder satisfaction
- 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
Bachelor degree in Computer Science, Information Security, Engineering, or equivalent experience. Advanced degree a plus
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Skills
Bedrockaws iamCismcloud servicesaws bedrockapi securityai frameworksamazon web servicesArticulatecisspCCSPAzure ADai securitycognitiveCNAPPcloudCloud SecurityApplication SecurityArchitectureMicrosoft AzureArtificial Intelligence
About TE Connectivity
TE Connectivity
Electronics Manufacturing
1.2k+
employees
1941
85 years old
Bangalore / Bengaluru, Karnataka
India
About
TE Connectivity specializes in connectivity and sensing solutions, emphasizing sustainability and reliability to address the needs of various industries.
Industries
Electronics ManufacturingInternetTelecomElectronics
Employee ratings
1,327 reviews
4.1/ 5
Culture
4.2
Career growth
3.3
Work-life
4.1
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