Senior AISecOps Engineer

What you'll do

• Secure the end-to-end AI/ML lifecycle including training data, models, deployment pipelines, and RAG architectures.
• Implement protections against prompt injections, jailbreaks, data leakage, and AI supply chain vulnerabilities.
• Establish AI governance practices for model risk, privacy, explainability, bias monitoring, and compliance.
• Develop AI-assisted security tools to automate incident response and reduce operational toil.
• Strengthen DevSecOps practices using CI/CD security, SAST/DAST, container security, and infrastructure-as-code.
• Maintain infrastructure reliability through monitoring, alerting, and disaster recovery using tools like Splunk and Dynatrace.
• Lead incident response, root cause analysis, and vulnerability remediation in a 24x7 production environment.
• Automate manual processes and workflows using Python and Bash to reduce technical debt.

What we're looking for

• Bachelor's Degree in Information Technology, Computer Science, Engineering or equivalent.
• 3+ years of relevant experience.
• 5+ years of hands-on experience in DevSecOps, Security Engineering, AI/ML Engineering, SRE, or a related enterprise technology role.
• Hands-on experience securing AI/ML or LLM systems in production, or strong security engineering experience combined with practical AI/ML experience.
• Strong knowledge of AI/LLM security, MLOps/MLSecOps, AI governance, and secure RAG/agentic architectures.
• Experience with AWS, Terraform, Docker/ECS/EKS, CI/CD platforms, SAST/DAST/SCA, vulnerability management, and secrets/network security.
• Experience with observability and monitoring technologies such as Dynatrace, Splunk, and CloudWatch.
• Proficiency with Python and/or Bash for automation.
• Strong production support experience, including incident management, RCA, application availability, SLA management, disaster recovery, and on-call support.
• Understanding of regulatory, data privacy, supply chain security, and enterprise change-management requirements.
• Ability to serve as a senior individual contributor and technical leader.
• Experience supporting enterprise applications, infrastructure, and databases such as Oracle, SQL Server, and Exadata is beneficial (preferred).