AI & Application Security Consultant

Job Description

Senior Application & AI Security Engineer

Location: Remote

Type: Full-Time Contract

Position Overview

We are seeking a Senior Application & AI Security Engineer to help reduce cybersecurity risk across enterprise applications, software development environments, cloud platforms, and emerging AI technologies.

This role combines Application Security and DevSecOps with a strong focus on AI/GenAI security , including LLMs, RAG, AI agents, coding assistants, and AI-enabled applications.

Key Responsibilities

• Integrate security testing and controls into CI/CD pipelines and software development processes .
• Support and mature SAST, DAST, SCA, SBOM, container scanning, dependency management, and vulnerability management capabilities.
• Identify, prioritize, and drive remediation of application and software supply-chain vulnerabilities.
• Perform security assessments of GenAI applications, LLMs, RAG solutions, AI agents, APIs, and AI/ML platforms .
• Conduct or support AI security testing and red teaming , including prompt injection, jailbreak, data leakage, insecure RAG, and excessive agent permissions.
• Review application and AI architectures for authentication, authorization, data protection, API security, guardrails, logging, and runtime security.
• Assess AI agents, integrations, plugins, and emerging technologies for security risks.
• Partner with development, DevOps, cloud, architecture, and AI teams to implement practical security controls.

Qualifications

• 5+ years of cybersecurity experience within Application Security, DevSecOps, Product Security, Cloud Security, or a related discipline.
• Strong experience with several of the following: SAST, DAST, SCA, SBOM, container security, CI/CD security, dependency management, and vulnerability management .
• Experience with cloud and development environments such as Azure, AWS, GCP, Azure DevOps, GitHub, or similar technologies .
• Knowledge of LLMs, Generative AI, RAG, AI agents, and associated security risks .
• Experience with AI security testing, GenAI security, or AI red teaming is highly preferred.
• Familiarity with OWASP, NIST CSF, NIST AI RMF, secure development, and threat modeling .
• Strong communication skills with the ability to translate technical security risks into practical recommendations.

Preferred Certifications: CISSP, CSSLP, CCSP, GIAC, or relevant cloud security certifications.