ABOUT THIS ROLE

This is the hardest profile in the CTO Office to find because it requires two skill sets simultaneously: enterprise cloud security architecture and AI-specific threat modelling. The company serves financial institutions, government agencies, and global enterprises -- every AI deployment and every customer environment must meet the security bar these clients expect. You produce the security architecture that both the AI development team and the product engineering team implement against.

You also own the infrastructure security gap that exists after migration -- the gap that application security tools do not cover.

WHAT YOU WILL DO

- Design AI-specific threat models: prompt injection, model exfiltration, indirect prompt injection, data leakage via LLM outputs.
- Design Zero Trust architecture for private AI deployments: network segmentation, identity-based access, least-privilege for model serving.
- Own post-migration infrastructure security architecture , the gap between application security and infrastructure access controls.
- Produce the security architecture specification for the AI platform that the development team implements.
- Design sovereign AI compliance architecture: DPDP Act (India), GDPR (Europe), SOC2, government air-gap requirements.
- Conduct security architecture reviews of product modules and identify gaps against enterprise customer standards.
- Design LLM guardrail architecture: input validation, output filtering, rate limiting, abuse detection.
- Produce the security compliance documentation pack for enterprise sales.
- Design the security testing framework for AI systems: red-teaming, adversarial testing, model robustness

MUST HAVE

- Designed enterprise cloud security architecture in production: IAM,



network segmentation, secrets management, CSPM
- Hands-on AI or LLM security threat modelling -- prompt injection, model exfiltration, or data privacy in AI contexts
- Produced security architecture specifications that engineering teams implemented not just audits
- Zero Trust implementation experience: BeyondCorp, SPIFFE/SPIRE, service mesh security, or equivalent
- Compliance framework depth in a hands-on architecture capacity: GDPR, SOC2, or equivalent
- 10+ years in security architecture with at least 2 years in AI/ML security contexts.

POSITIVE TO HAVE

- DPDP Act (India) compliance architecture- OWASP LLM Top 10 and AI security research frameworks
- Confidential computing: Intel TDX, AMD SEV, or AWS Nitro Enclaves
- AI system penetration testing or red teaming, Financial services or government security compliance.

Company Overview

Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.

With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.

We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.

📌 Principal AI Security Architect (Bengaluru)
🏢 Trianz
📍 Bengaluru