Application Security Engineer

TEKsystems•St. Louis, MO

2d•$100,000 - $150,000•Onsite

About The Position

In partnership with the AI / Application Security Architect, this role contributes to detailed technical design and operationalizes security architecture, standards, and approved security patterns across application and AI-enabled systems. The engineer will partner directly with engineering teams to embed security controls and secure-by-design practices into the software development lifecycle and AI lifecycle. Responsibilities include evaluating, testing, and performing technical validation of AI and application security tools, such as AI red teaming, AI and MCP gateways, DAST, SAST, SCA, API security, and mobile application security capabilities. The role involves implementing, integrating, tuning, and scaling security tooling across application and AI environments, focusing on runtime monitoring, governance controls, testing platforms, and posture management. Leveraging AI and automation to scale security operations, vulnerability management, and developer enablement through technologies like Python, AWS services, and CI/CD pipelines is key. The engineer will triage, validate, and prioritize vulnerabilities, assess risk in business and technical context, and partner with engineering teams for timely remediation. Providing hands-on guidance to developers on secure development practices, platform-specific risks, secure integration patterns, and remediation approaches is also a core function. Additionally, the role supports security review and risk assessment of AI platforms, models, agents, skills, MCPs, and third-party integrations, developing and maintaining secure coding standards, and staying current on emerging cybersecurity threats, particularly in AI security. The position also contributes to a strong security engineering culture by mentoring junior engineers and sharing technical knowledge.

Requirements

Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Computer Engineering, Software Engineering; or a related combination of education and experience.
4-6+ years of information security or software development experience.
Application security
Vulnerability management
AWS
Cyber security
SAST
CI/CD pipelines

Responsibilities

Contribute to detailed technical design and operationalize security architecture, standards, and approved security patterns across application and AI-enabled systems.
Partner directly with engineering teams to embed security controls and secure-by-design practices into the software development lifecycle and AI lifecycle.
Evaluate, test, and perform technical validation of AI and application security tools, including AI red teaming, AI and MCP gateways, DAST, SAST, SCA, API security, and mobile application security capabilities.
Implement, integrate, tune, and scale security tooling across application and AI environments, including runtime monitoring, governance controls, testing platforms, and posture management capabilities.
Leverage AI and automation to scale security operations, vulnerability management, and developer enablement through technologies such as Python, AWS services, and CI/CD pipelines.
Triage, validate, and prioritize vulnerabilities identified through application and AI security tools; assess risk in business and technical context; and partner with engineering teams to drive timely remediation.
Provide hands-on guidance to developers, including low-code and no-code users, on secure development practices, platform-specific risks, secure integration patterns, and remediation approaches.
Support the security review and risk assessment of AI platforms, models, agents, skills, MCPs, and third-party integrations by applying defined controls, documenting risk decisions, and helping establish scalable onboarding and governance practices.
Develop, maintain, and improve secure coding standards, implementation guidance, guardrails, and technical documentation for both application and AI use cases.
Stay current on emerging cybersecurity threats, particularly in AI security, and incorporate relevant mitigations into security tooling, engineering practices, and control design.
Contribute to a strong security engineering culture by mentoring junior engineers, sharing technical knowledge, and helping mature application and AI security practices across the organization.