Remote Senior AI Application Security Engineer

RESPONSIBILITIES:
Kforce has a client in need of a Remote Senior AI Application Security Engineer.

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

REQUIREMENTS:
* Bachelor's degree in Computer Science, Cybersecurity, Information Assurance, Software Engineering, or a related field, or an equivalent combination of education and experience
* Preferred certifications: CSSLP, OSCP, GWEB, or GWAPT
* 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
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and 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.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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