Day to Day:

• Design and implement security controls for AI/ML systems, including training, deployment, and inference environments.

• Identify and mitigate AI-specific threats (prompt injection, model poisoning, data leakage, model extraction, etc.).

• Conduct threat modeling and risk assessments for AI applications and cloud infrastructure.

• Evaluate existing AI workloads and security tooling to identify gaps and strengthen overall security posture.

• Implement secure cloud architecture principles (least privilege, segmentation, encryption, Zero Trust).

• Partner with the penetration testing team to operationalize findings and reduce attack surface.

• Support security operations including tool tuning, incident response, documentation, and reporting.

 Must have:

• Hands-on cloud security experience (Azure strongly preferred).

• Experience working in hybrid environments (cloud + on-prem).

• Experience with security tooling (SIEM, vulnerability scanning, DLP, IDS/IPS, firewall administration).

• Experience implementing Zero Trust architecture principles.

• Experience securing GenAI platforms and understanding of how AI systems can be abused or attacked 
   
  The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)