W3Global

Compensation

Full Description

AI Cyber Defense Engineer - 1890 Location: Remote Experience: 8-15 years overall (2-5 years relevant AI/ML focus) Role Overview We're looking for a mid-level AI Cyber Defense Engineer to support the Cyber Threat Interdiction team. This role focuses on designing and running AI experiments using AWS Bedrock, with a strong emphasis on secure, cost-aware, and responsible AI development. You'll work closely with engineers and cyber security professionals to prototype AI-driven solutions that strengthen threat detection and defense capabilities. Key Responsibilities • Design, build, and test AI experiments using AWS Bedrock, including model selection, prompt strategies, and orchestration patterns. • Develop secure Python-based AI and MCP-related components, minimizing risks tied to context sharing and tool invocation. • Implement and manage human-in-the-loop workflows for validation and approval of AI outputs. • Support data preparation, pipeline development, and cost monitoring to stay within usage budgets. • Apply cyber security concepts to shape experiments supporting detection, interdiction, and operational security. • Document experiment setups, results, risks, and recommendations. • Contribute reusable templates, runbooks, and guardrails to scale AI experimentation safely. Required Skills • 2-5 years of hands-on experience in AI/ML engineering, data engineering, or software engineering. • Strong experience with AWS Bedrock (model provisioning, API integration, prompt configuration, evaluation). • Proficiency in Python, including working with LLM APIs and building automation or orchestration tools. • Experience with AWS services such as Lambda, S3, CloudWatch, Step Functions, or DynamoDB. • Solid understanding of secure AI development practices, including safe prompt design and data minimization. • Experience implementing human-in-the-loop validation or approval workflows. • Exposure to cyber security domains such as detection engineering, incident response, threat intelligence, or security operations. Nice-to-Have Skills • Experience with RAG architectures, vector databases, or embeddings. • Familiarity with responsible AI frameworks or model safety evaluations. • Background in building AI prototypes or proof-of-concept tools. • Knowledge of secure coding practices and adversarial AI risks.