Note: The job is a remote job and is open to candidates in USA. Kforce Inc is seeking a Remote Senior AI Application Security Engineer to design and secure AI-driven development workflows. The role involves building AI-assisted pipelines, integrating AI tooling into CI/CD processes, and mentoring developers on secure coding practices.

Responsibilities

• Design and secure AI-driven development workflows using tools like Claude Code, Cline, Aider, Copilot, and similar platforms
• Build and orchestrate AI-assisted pipelines for code generation, testing, review, and remediation across the SDLC
• Create reusable patterns, prompts, and agent workflows that improve developer productivity while maintaining security standards
• Integrate AI tooling into CI/CD pipelines to automate vulnerability detection, prioritization, and remediation
• Lead threat modeling and security design for modern applications, APIs, and AI-enabled features
• Develop lightweight automation and scripts to scale security coverage and streamline engineering workflows
• Partner with engineering teams to embed secure-by-design practices into AI-assisted development
• Evaluate and operationalize new AI tools, frameworks, and orchestration patterns
• Mentor developers on effective and responsible use of AI-powered coding tools

Skills

• Bachelor's degree in Computer Science, Cybersecurity, Information Assurance, Software Engineering, or a related field, or an equivalent combination of education and experience
• 7+ years of experience in application security, software engineering, or DevSecOps in cloud-native environments
• Strong experience building or securing modern development workflows and pipelines
• Hands-on, daily use of AI-powered coding tools (e.g., Copilot, Claude Code, Cline, Aider, or similar)
• Experience designing AI workflows, agent-based systems, or prompt-driven development processes
• Proficiency in at least one core programming language (Python, JavaScript/TypeScript, Java, or similar)
• Solid understanding of secure coding practices, API security, and modern authentication patterns
• Familiarity with common application security testing approaches and automation methods
• Experience working in cloud environments and integrating tools into CI/CD pipelines
• Preferred certifications: CSSLP, OSCP, GWEB, or GWAPT
• Exposure to LLM security risks preferred
• Experience with AI orchestration frameworks, RAG pipelines, or agent-based architectures preferred
• Background building internal developer tools or enablement programs preferred

Benefits

• Medical/dental/vision insurance
• HSA
• FSA
• 401(k)
• Life, disability & ADD insurance to eligible employees
• Salaried personnel receive paid time off
• Hourly employees are not eligible for paid time off unless required by law
• Hourly employees on a Service Contract Act project are eligible for paid sick leave

Company Overview

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