Lead AI Security Engineer - APS

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

Job summary

Allegis Global Solutions (AGS) in Bengaluru is seeking a Lead AI Security Engineer to secure next‑generation AI systems, GenAI platforms, LLM‑powered applications, and enterprise AI solutions.

You will conduct AI security assessments, red teaming, threat modeling, and secure code reviews, and you will integrate security validations into CI/CD and DevSecOps pipelines while partnering with engineering teams to design secure AI applications.

Qualifications

• 8+ years in Software Engineering, Application Security, AI Engineering, or Cybersecurity.
• Strong Python development expertise.
• Hands-on experience with GenAI, LLMs, AI Agents, and RAG architectures.
• Strong Application Security experience.
• Knowledge of SAST, DAST, secure code review, threat modeling, and vulnerability assessment.
• Experience with Azure, AWS, or GCP cloud environments.

Responsibilities

• Conduct AI security assessments and AI red teaming exercises.
• Identify prompt injection, jailbreak, data leakage, RAG poisoning, and AI abuse scenarios.
• Build AI-powered security automation and vulnerability discovery solutions.
• Perform threat modeling, code reviews, and application security assessments.
• Integrate security validations into CI/CD and DevSecOps pipelines.
• Collaborate with engineering teams to design secure AI applications.

Skills

Python development

GenAI/LLMs

AI security

Application security

SAST/DAST

Cloud (Azure/AWS/GCP)

Threat modeling

Job description

Lead AI Security Engineer

We are hiring an experienced Lead AI Security Engineer to secure next-generation AI systems, GenAI platforms, LLM-powered applications, and enterprise AI solutions.

Key Responsibilities

• Conduct AI security assessments and AI red teaming exercises.
• Identify prompt injection, jailbreak, data leakage, RAG poisoning, and AI abuse scenarios.
• Build AI-powered security automation and vulnerability discovery solutions.
• Perform threat modeling, code reviews, and application security assessments.
• Integrate security validations into CI/CD and DevSecOps pipelines.
• Collaborate with engineering teams to design secure AI applications.

Required Skills

• 8+ years in Software Engineering, Application Security, AI Engineering, or Cybersecurity.
• Strong Python development expertise.
• Hands-on experience with GenAI, LLMs, AI Agents, and RAG architectures.
• Strong Application Security experience.
• Knowledge of SAST, DAST, secure code review, threat modeling, and vulnerability assessment.
• Experience with Azure, AWS, or GCP cloud environments.

Location

Bangalore (Whitefield)

Ideal Profile

Application Security + Python Development AI/GenAI Development Experience AI Security / AI Governance Knowledge Threat Modeling & Secure Coding Expertise Offensive Security Mindset (SAST, DAST, Pen Testing) Experience securing LLMs, AI Agents, and RAG-based Applications