Job Description:

AI Security Architecture

- Lead security architecture reviews for AI, Agentic AI, LLM, and RAG solutions.
- Design secure-by-design architectures aligned with enterprise security and regulatory requirements.
- Implement security controls covering identity, data protection, agent orchestration, tool integrations, model security, and runtime governance.
- Design and implement AI guardrails, AI gateways, secure RAG patterns, agent identity, and zero-trust controls.
- Review solution architectures and threat models and recommend appropriate security controls.

Agentic AI & LLM Security

- Design secure architectures for Agentic AI and multi-agent environments.
- Secure agent orchestration, LLMs, RAG pipelines, memory layers, APIs, and tool integrations.
- Protect enterprise LLM deployments such as GPT, Claude, Gemini, and Llama.
- Address AI-specific threats including prompt injection, jailbreaks, data leakage, model misuse, and unauthorized access.
- Implement AI guardrails, content filtering, runtime security controls, and AI firewall solutions.

RAG & Knowledge Security

- Architect secure RAG solutions and vector database environments.




- Implement access-controlled retrieval and data protection mechanisms.
- Ensure content provenance and protection against knowledge-base manipulation and poisoning.
- Secure sensitive enterprise data throughout the retrieval and generation lifecycle.

Identity & Access Security

- Design identity and access controls for users, AI agents, workloads, and services.
- Implement least privilege, short-lived credentials, token exchange, secrets management, and just-in-time access.
- Establish secure identity frameworks for AI agents and autonomous workloads.

Threat Modeling & Security Testing

- Conduct AI threat modeling, risk assessments, and security architecture reviews.
- Lead AI red teaming, adversarial testing, and security validation activities.
- Develop AI security testing methodologies, standards, and assurance frameworks.

Governance & Compliance

- Define AI security policies, standards, and secure AI development practices.
- Align AI security controls with NIST AI RMF, ISO 42001, ISO 27001, and OWASP LLM Top 10.
- Support audits, regulatory requirements, risk assessments, and compliance initiatives.

📌 AI Security Architect (Bengaluru)
🏢 Acme Services Private
📍 Bengaluru