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Security Engineer - Application & AI Security; REMOTE

Remote / Online - Candidates ideally in
Franklin, Williamson County, Tennessee, 37068, USA
Listing for: enablecomp
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Security Engineer - Application & AI Security (REMOTE)

Enable Comp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human‑in‑the‑loop integration, Enable Comp provides solutions across the revenue lifecycle for Veterans Administration, Workers' Compensation, Motor Vehicle Accidents, and Out‑of‑State Medicaid claims as well as denials for all payer classes.

By partnering with clients to supercharge the reimbursement process, Enable Comp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data‑rich performance management. Enable Comp is a multi‑year recipient of the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc.

5000 list of the fastest‑growing private companies in the United States for the last eleven years.

Position Summary

The Security Engineer (Application & AI Security) will serve as the technical implementation bridge between our security policy team and development operations. The Security Engineer will be embedded with development teams, writing code, configuring systems, and directly implementing 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 practical, deployable solutions across applications, data environments, and AI systems.
  • Design, build, and deploy security controls across web applications, 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 adoption of 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 a related technical field required
  • 3+ years in hands‑on application security, Dev Sec Ops , or security engineering roles.
  • 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.
  • Versatili…
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