AI Security Engineer

prodware solutions • United State
Remote
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AI Summary

Design and implement AI-enabled security solutions, collaborate with security and technology leaders, and leverage advanced AI techniques to enhance security operations.

Key Highlights
Design and implement AI-enabled security solutions
Collaborate with security and technology leaders
Leverage advanced AI techniques
Key Responsibilities
Partner with security and technology leaders to identify high-impact opportunities
Design, build, and maintain security automation across cloud and enterprise environments
Apply policy-as-code, automated control enforcement, and AI-enabled remediation patterns
Technical Skills Required
AI Automation SOX & AI Engineering & Security
Benefits & Perks
100% remote
12+ months contract

Job Description


Job Title: AI Information Security Engineer

Job Type: 100% Remote

Location: Des Moines, IA or Charlotte, NC

Duration: 12+ Months Contract


Skills that the manager is looking for in a candidate:

  1. AI Automation
  2. Engineering & Security
  3. SOX & AIM


Qualifications

  1. 8+ years of professional experience in security, technology, or engineering
  2. Experience designing, implementing, and operating AI enabled and automation solutions end‑to‑end, including exposure to advanced or agentic AI and AI enabled security capabilities such as anomaly detection, UEBA, or automated remediation
  3. Associate's or bachelor's degree (preference in a computer science, technology, engineering or math-related field) or equivalent experience

You’ll have the opportunity to:

  1. Partner with security and technology leaders to identify high‑impact opportunities, acting as a hands‑on technical expert who designs and delivers end‑to‑end AI and automation solutions—initially focused on IAM and expanding across ISR
  2. Design, build, and maintain security automation across cloud and enterprise environments, integrating with CI/CD pipelines, Infrastructure as Code, and APIs to improve response speed, auditability, and operational resilience
  3. Apply policy‑as‑code, automated control enforcement, and AI‑enabled remediation patterns to support secure baselines, continuous compliance, and alignment with security, risk, and regulatory expectations
  4. Collaborate across ISR and decentralized teams to understand systems and workflows, driving security outcomes through strong partnerships and influence without formal authority
  5. Leverage advanced AI techniques (including agentic AI where appropriate) to enhance security operations while maintaining responsible use and oversight


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