22 Oct
|
TE Connectivity
|
Bengaluru
22 Oct
TE Connectivity
Bengaluru
This job is with TE Connectivity, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
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: 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 knowledge (ISO 42001, EU AI Act, NIST AI RMF, GDPR, US AI frameworks)
Soft Skills
- 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
Security Engineering, Cyber Assurance, IAM & Compliance (25%)
- 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
Candidate Desired Profile: QualificationsMust-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 contemporary 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, a
📌 PRINCIPAL INFORMATION SECURITY (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru