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Security Engineer - Application & AI Security; REMOTE

Remote / Online - Candidates ideally in
Franklin, Williamson County, Tennessee, 37068, USA
Listing for: Medium
Remote/Work from Home position
Listed on 2025-12-13
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Security Engineer - Application & AI Security (REMOTE)

Company Overview

Enable Comp delivers specialty revenue‑cycle management solutions to hospitals, health systems, and ambulatory surgery centers, improving financial sustainability through intelligent automation.

Position Summary

Security Engineer (Application & AI Security) bridges security policy and technical execution, embedded with development teams to write code, configure systems, and implement security controls across applications, databases, and AI systems during a major Agentic AI platform transformation.

Key Responsibilities
  • Bridge security policy and technical execution by translating organizational security requirements into deployable solutions across applications, data environments, and AI systems.
  • Design, build, and deploy security controls across web application, data pipelines, APIs, and Agentic AI systems to ensure confidentiality, integrity, and availability.
  • Implement secure‑by‑design practices throughout the software development lifecycle, including code‑level remediations, configuration hardening, and secure infrastructure deployment.
  • Develop automation scripts and infrastructure‑as‑code to integrate security into CI/CD pipelines, enabling continuous compliance, secrets management, vulnerability scanning, and environment hardening.
  • Implement and operationalize AI‑specific security frameworks by building guardrails for agentic models, securing data flows and integrating AI security tooling into development workflows.
  • Perform hands‑on technical security assessments, including penetration testing, threat modeling, and code reviews, and directly remediate identified vulnerabilities.
  • Collaborate with cloud and Dev Ops teams to deploy monitoring and detection controls and ensure secure configuration baselines across environments.
  • Provide practical security guidance and training to developers and engineers during architecture reviews, sprint planning, and project delivery.
  • Continuously evaluate and improve the organization’s security posture through testing, feedback loops, and emerging best practices for AI and distributed systems.
  • Document security architectures, configurations, and implementation patterns to support ongoing operations, compliance, and knowledge sharing.
  • Other duties as required.
Requirements & Qualifications
  • Bachelor’s degree in Computer Science, Information Security, Engineering, or related technical field required.
  • 3+ years of hands‑on application security, Dev Sec Ops , or security engineering experience.
  • Proven experience building and configuring secure CI/CD pipelines (Jenkins, Git Lab CI, Git Hub Actions, Azure Dev Ops).
  • Equivalent combination of education and experience will be considered.
  • Deep proficiency with cloud security in AWS, Azure, or GCP environments.
  • Strong implementation experience with infrastructure as code (Terraform, Cloud Formation) and container security (Docker, Kubernetes).
  • Strong scripting and automation skills (Python, Bash, Power Shell) for security tooling.
  • Versatility across web/API security, data pipeline security, microservices, and database security.
  • Understanding of security frameworks (NIST, ISO 27001, SOC
    2) and compliance requirements (GDPR, HIPAA, PCI-DSS).
  • Hands‑on experience deploying and configuring security scanning tools (SAST, DAST, SCA).
  • Excellent communication skills—ability to translate security requirements into working technical implementations.
  • Experience working embedded within cross‑functional development teams.
  • Proven track record of hands‑on problem‑solving in fast‑paced development environments.
  • Regular and predictable attendance.
  • Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
Special Considerations & Prerequisites
  • Practices and adheres to Enable Comp’s core values, vision and mission.
  • Hands‑on experience with AI/ML security, model security, and data governance.
  • Technical knowledge of LLM security, prompt injection prevention, and AI agent safety.
  • Security certifications (CISSP, CEH, OSCP, CSSLP, or cloud security certifications).
  • Strong coding background in Python, Go, or similar languages.
  • Background in software development or engineering transitioning to security.
  • Direct experience implementing secrets management solutions (Hashi Corp Vault, AWS Secrets Manager).
  • Practical experience with zero‑trust architecture implementation.
  • Familiarity with data security, ETL processes, and data warehouse security.
  • Experience with microservices architectures and distributed systems security.
Equal Opportunity Employer

Enable Comp is an equal‑opportunity employer:
All applicants will be considered for this position based upon experience and knowledge, without regard to race, color, religion, national origin, sexual orientation, ancestry, marital, disabled or veteran status.

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