AI Security Specialist

Overview

We are seeking an AI Security Specialist to design, implement, and monitor security controls for AI-driven applications, data platforms, and cloud environments. This role will ensure the confidentiality, integrity, and availability of systems operating across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations, with a specific focus on risks unique to AI/ML systems and data pipelines.

This is a hands-on role ideal for someone with a strong background in cloud security and data protection, with growing expertise in securing AI-driven solutions.

Key Responsibilities

• Design and implement security controls across cloud environments (AWS, Azure) supporting AI and data platforms
• Identify and mitigate risks related to AI/ML systems, including:
  • Data poisoning
  • Model leakage
  • Unauthorized access to models or datasets
• Ensure secure data handling and governance across ETL/ELT pipelines and analytics platforms
• Implement and monitor identity and access management (IAM) policies across systems
• Conduct security assessments, vulnerability scans, and risk analyses
• Support secure integration of systems including BI tools (Tableau, Power BI) and CRM platforms (DealCloud)
• Collaborate with engineering, data, and DevOps teams to embed security best practices into system design
• Monitor systems for security threats, anomalies, and incidents
• Support incident response and remediation efforts related to security events
• Ensure compliance with industry standards and regulatory requirements
• Develop and maintain security policies, procedures, and documentation

Requirements

Required Qualifications

• 5+ years of experience in Cybersecurity, Cloud Security, or Information Security roles
• Strong experience securing AWS and/or Azure environments
• Knowledge of security frameworks and best practices (e.g., NIST, ISO 27001, CIS)
• Experience with identity and access management (IAM) and role-based access controls
• Experience with data security, encryption, and secure data pipelines
• Familiarity with network security, application security, and vulnerability management
• Experience with security tools (e.g., SIEM, endpoint protection, cloud security tools)
• Strong analytical and problem-solving skills

Key Traits for Success

• Strong security mindset with attention to detail
• Ability to anticipate and mitigate emerging risks in AI environments
• Collaborative approach working with engineering and data teams
• Proactive and adaptable in a rapidly evolving technology landscape
• Strong communication skills for both technical and non-technical audiences