Senior AI - Application Security Engineer

duvari group

  • Saint Louis, MO
  • 3 days ago

    Highlights

    This senior engineer will lead security initiatives across the software and AI lifecycles, including applications, models, agents, skills, and MCP integrations . Identify and mitigate AI-specific risks including prompt injection, model abuse, insecure integrations, and data leakage .

    Numbers & Facts

    LocationSaint Louis, MO

    Description

    Senior AI & Application Security Engineer

    Join an enterprise security team responsible for securing both traditional applications and emerging AI-enabled systems. This senior engineer will lead security initiatives across the software and AI lifecycles, including applications, models, agents, skills, and MCP integrations.

    What You'll Do

    • Lead application and AI security testing using SAST, SCA, DAST, API/mobile testing, and AI red teaming.

    • Conduct threat modeling and security assessments across applications, AI platforms, models, agents, skills, and MCP integrations.

    • Identify and mitigate AI-specific risks including prompt injection, model abuse, insecure integrations, and data leakage.

    • Guide development teams on secure coding, remediation, architecture, and secure-by-design practices.

    • Evaluate and implement security tooling, including AI/MCP gateways, runtime monitoring, governance, and posture management.

    • Automate security processes using Python, cloud services, and CI/CD pipelines.

    • Define application and AI security standards, guardrails, and implementation guidance.

    • Mentor junior engineers and help mature application and AI security practices.

    What We're Looking For

    • 8–10 years of combined information security and software development experience.

    • Deep knowledge of application security, AI security, threat modeling, and secure architecture.

    • Experience with SAST, DAST, SCA, API security, mobile security, and red team tooling.

    • Experience assessing LLM/agentic systems, AI integrations, and associated security risks.

    • Working knowledge of cloud computing and cloud security.

    • Strong technical communication, analytical, and problem-solving skills.

    • Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or related field, or equivalent education and experience.

    Nice to Have

    • C#, Angular, and Python experience.

    • AWS or Microsoft Azure experience.

    • CISSP, CSSLP, GIAC, or similar security certification.

    • Experience with AI coding assistants, MCPs, Agents, AI red teaming, and AI/MCP gateways.

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