Lead AI Security Engineer

Allegis Global Solutions (AGS); Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Allegis Global Solutions (AGS) is seeking a Lead AI Security Engineer in Bengaluru to secure GenAI platforms, AI agents, and cloud-native applications. The role sits at the intersection of AI, cybersecurity, and secure software engineering, focusing on risk assessment and mitigation across AI ecosystems.

You will perform security assessments, run red team exercises, review architectures, and develop automation for AI security testing while integrating best practices into SDLC and DevSecOps.

Qualifications

• 8+ years of experience in Software Engineering, Cybersecurity, Application Security, or related fields.
• Strong hands-on experience with GenAI, LLMs, AI Agents, and RAG architectures.
• Strong application security expertise, including threat modeling and secure code reviews.
• Experience with Python, Java, Go, JavaScript, or C#.
• Strong understanding of OWASP Top 10 and API Security.
• Experience working with Azure, AWS, or GCP cloud platforms.

Responsibilities

• Perform AI security assessments for GenAI, LLM, AI Agents, and RAG-based systems.
• Conduct AI Red Team exercises, including prompt injection and jailbreak testing.
• Review application architectures, APIs, retrieval layers, and AI workflows.
• Develop AI-powered security automation and testing frameworks.
• Conduct threat modeling, secure design reviews, and code reviews.
• Integrate AI security practices into SDLC and DevSecOps pipelines.
• Collaborate closely with development and cybersecurity teams.
• Define AI security standards, playbooks, and secure engineering practices.

Skills

GenAI security

AI security

Threat modeling

DevSecOps

Tools

Python

Java

Go

JavaScript

C#

Job description

Hiring: Lead AI Security Engineer

We are looking for a highly skilled Lead AI Security Engineer to secure next-generation AI systems, GenAI platforms, LLM-powered applications, AI agents, and cloud-native enterprise solutions.

This role sits at the intersection of Artificial Intelligence, Cybersecurity, Application Security, and Secure Software Engineering, with a focus on identifying, assessing, and mitigating risks across emerging AI ecosystems.

Key Responsibilities

• Perform AI security assessments for GenAI, LLM, AI Agents, and RAG-based systems
• Conduct AI Red Team exercises, including prompt injection and jailbreak testing
• Review application architectures, APIs, retrieval layers, and AI workflows
• Develop AI-powered security automation and testing frameworks
• Conduct threat modeling, secure design reviews, and code reviews
• Integrate AI security practices into SDLC and DevSecOps pipelines
• Collaborate closely with development and cybersecurity teams
• Define AI security standards, playbooks, and secure engineering practices

Required Qualifications

• 8+ years of experience in Software Engineering, Cybersecurity, Application Security, or related fields
• Strong hands-on experience with GenAI, LLMs, AI Agents, and RAG architectures
• Strong application security expertise, including threat modeling and secure code reviews
• Experience with Python, Java, Go, JavaScript, or C#
• Strong understanding of OWASP Top 10 and API Security
• Experience working with Azure, AWS, or GCP cloud platforms

Interested Candidates:

If you have experience building or securing AI applications and are passionate about working at the intersection of AI and Cybersecurity, we'd love to hear from you.