AI Security Engineer – Cyber Security & Application Security (AppSec)

Staffing Spot, Inc.

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

9 days ago

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Job summary

Staffing Spot, Inc. is seeking an experienced AI Security Engineer to lead the deployment of AI and Generative AI within our Cyber Security and AppSec functions.

You will automate vulnerability management, integrate AI-driven remediation, and strength-en security across the software development lifecycle. The role requires hands-on experience with AI-powered security tools, integrating them into enterprise workflows, and building AI-driven remediation strategies to improve security posture and

Qualifications

Bachelor's degree or equivalent in a related field.
7+ years in Cyber Security, AppSec, DevSecOps or Security Engineering.
4+ years deploying AI or Generative AI in security contexts.
Proven experience integrating AI-powered security tools into enterprise ecosystems.
Experience building AI-driven cyber remediation and automation workflows.
Strong secure SDLC and CI/CD understanding.
Proficient in Python or similar automation language.

Responsibilities

Design, deploy, and maintain AI-powered security solutions in Cyber Security and AppSec.
Implement AI/ML to automate vulnerability detection, prioritization, and remediation.
Integrate AI platforms with existing security tools, CI/CD pipelines, and DevSecOps.
Develop AI-driven remediation strategies to reduce MTTR.
Evaluate and optimize AI-native AppSec tools like Corgea, Mobb, ZeroPath, Xygeni.
Collaborate across Security, Engineering, DevOps, and Development teams.
Assess emerging AI technologies and recommend improvements.
Develop automation workflows leveraging Generative AI and ML.
Monitor AI remediation effectiveness using security KPIs.
Ensure AI implementations comply with security policies and standards.

Skills

AI Engineering

Generative AI

Machine Learning

LLMs

AI Security Integration

Security Automation

Application Security

Cyber Security

DevSecOps

Vulnerability Management

Secure SDLC

CI/CD Integration

Python

REST APIs

Docker

Kubernetes

Cloud Platforms

Education

Bachelor's degree in Computer Science, Cyber Security, Information Security, Software Engineering, or related field

Tools

Corgea

Mobb

ZeroPath

Xygeni

GitHub Copilot

Microsoft Security Copilot

Amazon Q Developer

Job description

Job Title: AI Security Engineer – Cyber Security & Application Security (AppSec) Position Overview We are seeking an experienced AI Security Engineer to lead the deployment and integration of Artificial Intelligence (AI) and Generative AI solutions within our Cyber Security and Application Security (AppSec) organization. This role is focused on leveraging AI to automate vulnerability management, enhance security operations, and drive cyber remediation across the software development lifecycle.

The ideal candidate has hands-on experience implementing AI-powered security tools, integrating them into enterprise security workflows, and building AI-driven remediation strategies that improve security posture and reduce remediation time.

Key Responsibilities

Design, deploy, and maintain AI-powered security solutions within Cyber Security and AppSec environments.
Implement AI and machine learning solutions that automate vulnerability detection, prioritization, and remediation.
Integrate AI-powered security platforms with existing security tools, CI/CD pipelines, and DevSecOps workflows.
Develop AI-driven cyber remediation strategies to improve vulnerability management and reduce Mean Time to Remediation (MTTR).
Evaluate, implement, and optimize AI-native Application Security tools such as Corgea, Mobb, ZeroPath, Xygeni, or similar platforms.
Collaborate with Security, Engineering, DevOps, and Development teams to integrate AI into secure software development processes.
Assess emerging AI technologies and recommend solutions that improve operational efficiency and security outcomes.
Develop automation workflows that leverage Generative AI and Machine Learning to streamline security operations.
Monitor and measure the effectiveness of AI-driven remediation initiatives using security metrics and KPIs.
Ensure AI implementations align with organizational security policies, compliance requirements, and industry best practices.

Required Qualifications

Bachelor's degree in Computer Science, Cyber Security, Information Security, Software Engineering, or a related field.
7+ years of experience in Cyber Security, Application Security, DevSecOps, or Security Engineering.
4+ years of hands-on experience deploying AI or Generative AI solutions within Cyber Security or AppSec environments.
Proven experience integrating AI-powered security tools into enterprise security ecosystems.
Experience building AI-driven cyber remediation strategies and security automation workflows.
Strong understanding of secure software development practices and Application Security.
Experience working with CI/CD pipelines and DevSecOps methodologies.
Proficiency in Python or another scripting/programming language used for automation and AI integration.

Preferred Qualifications

Experience with AI-native AppSec platforms such as Corgea, Mobb, ZeroPath, Xygeni, or similar AI-driven remediation tools.
Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Generative AI frameworks.
Familiarity with AI/ML frameworks such as LangChain, OpenAI APIs, Azure OpenAI, Hugging Face, TensorFlow, or PyTorch.
Experience with cloud security across AWS, Azure, or Google Cloud Platform.
Knowledge of SAST, DAST, SCA, vulnerability management, threat modeling, and secure SDLC practices.
Relevant certifications such as CISSP, Security+, CEH, GIAC, AWS Security Specialty, Microsoft Security, or cloud security certifications are a plus.

Required Technical Skills