Job Description
Description
/Preferred Qualifications
We are seeking a skilled and passionate AI Production & Security Engineer to join our Service AI Engineering team. This role will work closely with a Senior AI Production & Security Engineer to support production application support for enterprise AI applications and implement security controls that protect intellectual property (IP). We encourage you to apply if you’re a hands-on engineer with strong security fundamentals, solid operational instincts, and a drive to learn and grow into greater technical ownership.
Key Responsibilities
Execute AI security testing and adversarial assessments (e.g., prompt injection, jailbreaks, data exfiltration, tool/plugin abuse) by running test plans, maintaining test cases, and helping automate regression checks. Support production operations for enterprise AI applications: participate in incident triage, debug issues, implement fixes, and contribute to post-incident follow-ups and reliability improvements. Implement and maintain observability and monitoring (logs/metrics/traces) to detect suspicious or unsafe interaction patterns and reliability issues, and tune alerting to reduce noise while improving detection. Build and enhance IP protection and safety guardrails (sensitive data detection/redaction, policy enforcement, access-control verification, safe tool-use constraints, audit logging) under established standards. Contribute to threat modeling and secure design reviews for AI application changes (model, retrieval/data access, tools/agents), documenting risks and helping implement mitigations before release. Implement DevSecOps controls for AI applications (CI/CD security gates, dependency updates, secrets management, least privilege, vulnerability remediation, safe rollout/rollback practices). Collaborate with engineering and corporate security stakeholders by documenting runbooks/playbooks, improving operational processes, and contributing to security and reliability standards. Qualifications
3+ years of experience in security engineering, production engineering/SRE, DevSecOps, or closely related roles, including supporting production systems. Hands-on experience securing and operating cloud-native applications (containers, Kubernetes, CI/CD, secrets management, IAM/RBAC, logging/monitoring). Familiarity with AI/LLM security risks and mitigations (prompt injection/jailbreaks, data exfiltration, unsafe tool use, evaluation gates) and interest in staying current as threats evolve. Strong programming and troubleshooting skills (Python preferred) and ability to build automation for testing, monitoring, and response workflows. Strong communication and collaboration skills; able to work effectively in incident response and cross-functional security/engineering workflows. Prior experience in environments protecting proprietary IP and/or high-assurance systems is a plus. Minimum Qualifications
Bachelor's Level Degree and related work experience of 5 years
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