AI Security Architect

TE Connectivity; Bengaluru; Hybrid; INR 2,800,000 - 4,800,000; Full time

Job summary

TE Connectivity seeks an Enterprise AI Security Architect to lead secure-by-design AI initiatives. You will define end-to-end AI security architecture, perform design reviews, and drive risk-based decisions across on-prem, cloud, and SaaS environments.

In collaboration with Security Engineering, IAM, and Compliance, you will embed standards into SDLC, develop telemetry, and mentor AI security champions while balancing business speed and risk controls.

Qualifications

• 10+ years in IT and cybersecurity across security architecture and regional compliance
• Proven enterprise security architecture and regulatory compliance experience
• Hands-on with cloud security and IAM in AWS/Azure
• Hands-on with cloud AI/ML services (AWS Bedrock, Azure, SageMaker)
• Strong ability to translate risk into business impact
• Excellent presentation and stakeholder communication

Responsibilities

• Define and maintain target-state AI security architecture and standards
• Perform security reviews for AI systems across on-prem, cloud, and SaaS
• Collaborate to align platform and application security with SDLC
• Partner with AI teams to document requirements and traceability
• Set logging/telemetry standards and ensure control verification
• Create design documents and standards in ESA repositories
• Support AI security frameworks, policies, and regulatory commitments
• Enable continuous control validation and risk-based decisions

Skills

Analytical thinking

Risk assessment

Excellent communication

Strategic thinking

Collaboration

Leadership

Problem solving

Technical AI security understanding

Education

Bachelor degree in Computer Science/Engineering/Info Security

Advanced degree a plus

CISSP/CISM/CRISC/CCSP certifications

TOGAF/SABSA awareness

ISO/NIST compliance knowledge

Tools

AWS Bedrock

Bedrock Guardrails

Azure Foundry / Cognitive Services

SageMaker AI

S3

IAM concepts (AWS/Azure)

SAST/DAST/IAST

SIEM

XDR/CNAPP/CSPM

Kubernetes

Policy-as-code

Python

PowerShell

JavaScript

SQL

Job description

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:

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