Remote AI Security Engineer Autonomous Security for DevOps

SaidGig; New York (NY); Remote; USD 250,000 - 400,000; Full time

Job summary

SaidGig is seeking an experienced security leader to shape AI-native security engineering, blending application security, ML, and developer productivity. You will enable continuous risk discovery, intelligent remediation, and secure deployment throughout the software lifecycle.

The role focuses on architecting AI-powered security systems, integrating Snyk/Checkmarx/GitHub Advanced Security into automated workflows, and leading threat modeling across distributed systems.

Qualifications

• Demonstrated experience building or applying AI- or LLM-powered security solutions.
• Deep expertise in application security and security engineering with strong software background.
• Hands-on experience integrating enterprise security tools into automated workflows and AI orchestration.
• Strong knowledge of modern security architecture, cloud-native systems, APIs, and microservices.
• Advanced programming ability in Python and at least one additional language.

Responsibilities

• Architect and build AI-powered security systems that identify, triage, and remediate vulnerabilities.
• Create agentic security workflows using LLMs and ML for code review and remediation.
• Integrate AI guardrails and continuous validation into CI/CD pipelines.
• Lead threat modeling for distributed systems and AI platforms.
• Design protections against prompt injection and data leakage.
• Build risk engines for fraud and adversarial activity in onboarding and KYC.

Skills

AI security

LLM workflows

Security engineering

Python

Threat modeling

Tools

Snyk

Checkmarx

GitHub Advanced Security

Semgrep

Wiz

Lacework

Job description

SaidGig is seeking an experienced security leader to shape AI-native security engineering, blending application security, ML, and developer productivity. You will enable continuous risk discovery, intelligent remediation, and secure deployment throughout the software lifecycle.

The role focuses on architecting AI-powered security systems, integrating Snyk/Checkmarx/GitHub Advanced Security into automated workflows, and leading threat modeling across distributed systems.