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EnableComp

We partner with over 1,000 healthcare providers to maximize their complex claims reimbursements.

AI Security Architect

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

Tennessee

Posted

8 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAzureSDLC

Job Description

AI Security Architect

EnableComp

• Collaborate directly with the IT & Development teams to design and integrate advanced AI security tooling at the application level. • Take a leading role in enhancing the security capabilities of our flagship in-house application, "Enforcer," by leveraging cutting-edge AI technologies. • Partner with our Development teams to establish a secure AI development lifecycle. • Assist in the evaluation, selection, and secure configuration of AI/ML tools, libraries, and platforms to empower our developers while maintaining a robust security posture. • Act as the central point of contact for vetting and suggesting secure AI solutions for business units across the entire organization. • Develop and maintain a curated portfolio of approved AI tools and services that align with our security standards and business objectives. • Stay at the forefront of the rapidly evolving AI landscape, including new technologies, emerging threats, and changing regulatory requirements (e.g., GDPR, CCPA as they relate to AI). • Provide regular updates and strategic recommendations to leadership on AI-related security matters. • Manage and optimize our TPRM platform. • Leverage the platform to establish and streamline a comprehensive AI vendor assessment process, creating clear requirements for onboarding new AI partners and solutions. • Contribute to the daily operations and strategic initiatives of the broader Information Security team. • Assist in incident response, threat modeling, and security architecture reviews as needed.

Job Requirements

  • Bachelor’s degree in computer science, Information Security, or a related field.
  • 5-7+ years of experience in a senior information security role.
  • Demonstrable experience working within the Microsoft Azure ecosystem, including securing data services like Azure Data Lake Storage, Azure Databricks, and Azure Machine Learning.
  • Deep understanding of the security challenges and controls for Large Language Models (LLMs), including prompt injection, data poisoning, and model theft.
  • Proven experience working in a dynamic business environment, particularly within a company undergoing a significant technological transformation.
  • Strong understanding of secure software development lifecycle (SDLC) principles.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Professional development opportunities

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