Senior Security Engineer - AI, Vice President
Core
Design, develop, and deploy autonomous AI agents to automate cybersecurity use cases like incident investigation and vulnerability prioritization while ensuring security guardrails.
Role type
Senior Security Engineer (AI/ML)
Builds
Autonomous security agents, optimized data pipelines, and production AI solutions for cyber defense.
Domain
Cybersecurity + Artificial Intelligence
Deliverable
production ML models
Required skills
Python, Prompt Engineering, Machine Learning (Deep Learning, K-MEANS, SVM), LLM Integration, Vector Databases, MLOps, Cloud AI solutions, RESTful/GraphQL APIs, Docker, Kubernetes, Git
Preferred skills
GIAC Machine Learning Engineer, AWS Certified Machine Learning Engineer, Microsoft Certified Azure AI Engineer, CISSP
Technologies
LangChain, CrewAI, AutoGPT, OpenAI, Anthropic, AWS Bedrock, SageMaker, Azure AI, Scikit-Learn, Pytorch
Responsibilities
Build multi-step reasoning AI agents for security automation; Design high-precision, version-controlled prompts for LLMs; Fine-tune ML models to identify attack patterns; Integrate LLMs into production environments; Develop and optimize data ingestion pipelines with Vector Databases; Audit and re-engineer workflows using a Machine-First mindset; Deploy and monitor AI solutions with cloud-native tools; Implement safety guardrails and Human-in-the-loop checkpoints.
Seniority
Senior, hands-on IC