AI Security Engineer — SDLC Automation & Enterprise Scale

Apex Systems; Round Rock, Northern (TX, KY); Hybrid; USD 145,000 - 177,000; Full time

Benefits offered by this job

Medical benefits

401K with company match

Stock purchase program

Job summary

Everforth Apex is seeking an AI Engineer to design, build, and deploy AI-powered capabilities across the SDLC within the Security Resiliency Organization. The role demands hands-on AI engineering, security harness engineering, and experience delivering scalable AI solutions in enterprise contexts.

The candidate will collaborate with engineering, security, product, and leadership to define requirements, integrate with enterprise systems, and ensure secure, well-architected AI outcomes across the

Qualifications

• Bachelor's or master's degree in CS or related field.
• Experience in production AI solutions with measurable impact.
• Experience with enterprise scalability in large companies.
• Background in security harness engineering.

Responsibilities

• Design, build, and deploy AI-powered capabilities across the SDLC.
• Develop SDLC skills and agent tooling for automated security checks.
• Integrate solutions with enterprise systems via APIs and webhooks.
• Partner with stakeholders to define requirements and adoption.
• Apply architecture and secure design practices.
• Serve as technical consultant to IT leadership and user groups.

Skills

Python

TypeScript/JavaScript

Go

AI/LLM development

API design

Security practices

Education

Bachelor's or Master's in CS

Tools

MCP (Model Context Protocol)

Agent skills

AI coding assistants

Job description

Everforth Apex is seeking an AI Engineer to design, build, and deploy AI-powered capabilities across the SDLC within the Security Resiliency Organization. The role demands hands-on AI engineering, security harness engineering, and experience delivering scalable AI solutions in enterprise contexts.

The candidate will collaborate with engineering, security, product, and leadership to define requirements, integrate with enterprise systems, and ensure secure, well-architected AI outcomes across the