Key Skills: LLM Architect, LLM, Cloud Security, AI/ML, Generative AI, Agentic AI, AWS, Azure

Roles and Responsibilities:

- Design security architecture for AI/ML and Generative AI platforms and applications.
- Assess and mitigate risks across LLM-based solutions, AI models, and AI agents.
- Perform AI threat modeling, security reviews, and risk assessments for new and existing solutions.
- Define security controls for cloud environments, APIs, IAM, encryption, and data protection.
- Establish AI security standards, governance controls, and secure design patterns for engineering teams.

Skills Required:

- 5 to 10 years of experience in cybersecurity, security architecture, or cloud security with exposure to AI/ML or GenAI security.
- Strong experience in cloud security, cybersecurity architecture,



and AI/ML or Generative AI security.
- Architecture-level understanding of LLM security, AI threat modeling, and secure design for AI platforms.
- Ability to secure cloud-based AI workloads across contemporary enterprise environments.
- Experience defining security controls for APIs, identity, access, and data protection in AI applications.

Good to Have:
- Experience with Azure, AWS, or GCP security.
- Exposure to Agentic AI and AI security controls for emerging GenAI use cases.

Education: Bachelor's degree in Computer Science, Information Security, Engineering, or a related field.

📌 AI Security Architect (Bengaluru)
🏢 MyCareernet
📍 Bengaluru