AI Solution Architect II (Noida)

AI Solution Architect II (Noida)

05 Aug
|
HCL Technologies
|
Noida

05 Aug

HCL Technologies

Noida

AI Solution Architect II

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Security Architecture Frameworks, Threat Modeling, Secure Design Reviews, Risk Assessment, Security Governance, Cloud Security, Azure Security, AWS Security, GCP Security, IAM, Key Vault, KMS, Secrets Management, Cloud Security Posture Management, Kubernetes Security, OpenShift Security, Container Security, Service Mesh Security, Aqua, Prisma Cloud, Wiz, Sysdig, Falco, LLM Applications, Agentic AI Systems, RAG Systems, AI APIs, Knowledge Graphs, OWASP Top 10 for LLM Applications, Prompt Injection, Data Leakage, Model Abuse, AI Governance, Secure Boot, TPM, Device Identity, PKI, Firmware Security, Edge Hardening, OTA Security, NVIDIA Jetson, Industrial Edge Devices, IoT Security, Secure SDLC, OWASP Top 10, API Security, SAST, DAST, Dependency Management, Encryption, Data Loss Prevention, Data Classification, Privacy Controls, Data Governance, RBAC, ABAC, SSO, OAuth, OpenID Connect, Active Directory, Identity Federation

Job Summary
HCLTech is seeking a highly experienced Principal Security Architect to define, govern, and implement the security architecture strategy across its Physical AI portfolio comprising: VisionX (Physical AI Intelligence Platform), SmartTwin (Digital Twin & World Model Platform), TraceX (Asset & Workflow Intelligence Platform), iEdgeX (Edge Autonomy & Operations Platform). This role will serve as the central security authority responsible for ensuring that all platforms, AI models, edge infrastructure, digital twins, data pipelines, APIs, agents, and operational workflows are secure by design and compliant with enterprise, regulatory, and

Key Responsibilities
Security Architecture Leadership
Define and maintain the security architecture roadmap across: VisionX, SmartTwin, TraceX, iEdgeX
Establish: Secure-by-design principles




Security reference architectures
Security design reviews
Platform security standards
Act as the final security approver for major architectural decisions.

AI & Agentic Security
Define security controls for: LLMs, VLMs, Agentic AI, Multi-agent systems, Knowledge Graphs, RAG systems, AI copilots
Establish protections against: Prompt injection, Data poisoning, Model theft, Model tampering, Hallucination abuse, Agent exploitation, Unauthorized tool execution

Edge Security
Define security architecture for: Jetson devices, Edge gateways, Industrial PCs, Distributed AI deployments
Own: Secure boot, TPM integration, PKI, Device certificates, Edge hardening, OTA security, Fleet security governance

Application & Platform Security
Lead security architecture for: APIs, Microservices, Event-driven systems, Kubernetes platforms, Cloud-native services
Establish: Secure coding standards, Threat modeling, Security testing frameworks, Runtime protection strategies

Data Security & Governance
Define controls for: Video data, AI training data, Digital Twin data, Asset intelligence data, Operational data
Own: Encryption, Data masking, Tokenization, Data retention policies, Data residency requirements

Identity & Access Management
Define: RBAC, ABAC, Zero Trust Architecture, Identity Federation, SSO, Privileged Access Management
Ensure secure access across: Customers, Partners, Operators, Administrators, AI Agents

Security Governance & Compliance
Lead compliance alignment with: ISO 27001,



NIST Cybersecurity Framework, SOC 2, PCI DSS (Banking), RBI Guidelines, GDPR, Industry-specific security standards
Establish: Security r

Skill Requirements
Enterprise Security Architecture
Strong expertise in: Security Architecture Frameworks, Threat Modeling, Secure Design Reviews, Risk Assessment, Security Governance, Cloud Security
Hands-on experience with: Azure Security, AWS Security, GCP Security
Technologies: IAM, Key Vault, KMS, Secrets Management, Cloud Security Posture Management
Solid experience with: Kubernetes Security, OpenShift Security, Container Security, Service Mesh Security
Tools: Aqua, Prisma Cloud, Wiz, Sysdig, Falco

AI Security
Experience securing: LLM Applications, Agentic AI Systems, RAG Systems, AI APIs, Knowledge Graphs
Understanding of: OWASP Top 10 for LLM Applications, Prompt Injection, Data Leakage, Model Abuse, AI Governance

Edge Security
Strong expertise in: Secure Boot, TPM, Device Identity, PKI, Firmware Security, Edge Hardening, OTA Security
Experience with: NVIDIA Jetson, Industrial Edge Devices, IoT Security

Application Security
Experience with: Secure SDLC, OWASP Top 10, API Security, SAST, DAST, Dependency Management

Data Security
Strong understanding of: Encryption, Data Loss Prevention, Data Classification, Privacy Controls, Data Governance
Identity & Access Management Experience with: RBAC, ABAC, SSO, OAuth, OpenID Connect, Active Directory, Identity Federation

Preferred Skills
Physical AI Security Experience with: Vision AI Platforms, Digital Twin Platforms, Video Analytics Platforms, Industrial AI Systems
NVIDIA Ecosystem Exposure to: DeepStream, TensorRT, Omniverse, Isaac Sim
NIM DevSecOps Experience with: GitHub Advanced Security, Azure DevOps Security, CI/CD
Other Requirements
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📌 AI Solution Architect II (Noida)
🏢 HCL Technologies
📍 Noida

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