Senior Lead Security Engineer, AI
USD 175K-205K (estimate) Senior-level Full Time
Tasks
- Build incident response runbooks for AI enabled services
- Build secure LLM RAG services and ML pipelines integrated with security and IT systems
- Create evaluation harnesses for AI models and safety quality
- Drive metrics improvements such as MTTR reduction and detection precision
- Establish engineering standards for secure AI
- Implement drift and quality monitoring and AI service SLAs SLOs
- Lead end to end design and delivery of AI solutions for cyber use cases
- Mentor engineers and analysts and publish secure prompt playbooks
- Support governance workflows for AI ML validation and attestations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Adversarial ML | Anomaly Detection | Containers | DAST | Data Protection | Drift monitoring | EDR | Embeddings | Feature Store | Fine Tuning | GPU Optimization | IAM | ITSM | IaC | Injection Defense | Input validation | Jailbreak testing | Java | Kafka | Kubernetes | LLM Red Teaming | LLM orchestration | Langchain | Llamaindex | Microservices | Model Evaluation | Model Monitoring | Model Quantization | Model Serving | ONNX | Output Validation | PII masking | Policy-as-Code | Privacy | Prompt engineering | Prompt security | PyTorch | Python | RAG | Ray | Red Teaming | SAST | SIEM | SOAR | Safety filters | Scala | Scikit-learn | Secrets management | Secure SDLC | TensorFlow | Tool-Calling | Triton | TypeScript | Vector Databases | Vector Store | “as-code”
Education
N/A
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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