Note: The job is a remote job and is open to candidates in USA. Danta Technologies is seeking an AI Security Engineer to secure and operationalize tooling, pipelines, and controls for enterprise AI initiatives. The role focuses on implementing AI/ML security controls, integrating AI risk detection with security platforms, building testing and red-teaming capabilities, and embedding secure-by-design practices into AI development.
Responsibilities
- Design, build, and maintain tooling for AI/ML asset discovery, model inventory, and shadow-AI detection across the enterprise
- Implement security controls for AI pipelines, including data protection, access control, secrets management, and secure model deployment (MLOps/LLMOps security)
- Integrate AI risk signals (e.g., prompt injection attempts, data exfiltration via AI tools, anomalous model behavior) into existing SIEM/SOAR and monitoring platforms
- Build automated testing and red-teaming harnesses for AI applications (adversarial testing, jailbreak/prompt-injection testing, data leakage testing)
- Support secure integration of third-party and internally built AI/LLM services (API gateways, guardrail middleware, output filtering)
- Collaborate with data science, platform engineering, and application teams to embed security requirements into the AI development lifecycle (secure-by-design, CI/CD gates)
- Document control implementations, runbooks, and technical standards for AI security engineering
Skills
- 3+ years in security engineering, cloud engineering, or ML engineering, with direct hands-on exposure to AI/ML or LLM-based systems
- Proficiency in Python and experience with ML/LLM frameworks (e.g., LangChain, Hugging Face, TensorFlow/PyTorch) or AI security tooling (e.g., guardrail frameworks, model scanning tools)
- Working knowledge of cloud platforms (Azure and/or AWS/GCP) and cloud-native security controls (IAM, network segmentation, key/secrets management)
- Familiarity with AI-specific threat models: prompt injection, model inversion, data poisoning, insecure output handling, excessive agency (OWASP Top 10 for LLM Applications)
- Experience with CI/CD pipelines, infrastructure-as-code, and integrating security tooling into automated pipelines
- Experience with SIEM/SOAR platforms (Splunk, Sentinel, etc.) and scripting integrations
- Security certifications (Security+, GCIH, OSCP) or cloud certifications (AWS/Azure Security)
- Prior retail or PCI-regulated environment experience
Benefits
- Option to elect healthcare insurance (Dental, Medical, Vision)
- Major holidays
- Paid sick leave as per state law
Company Overview
Company H1B Sponsorship