AI Cyber Defense Engineer (AWS Bedrock)

Required Skills

• 2–5 years of experience in AI/ML engineering, data engineering, or software engineering roles.
• Hands‑on experience working with AWS Bedrock (model provisioning, API integration, prompt configuration, model evaluation).
• Proficiency in Python, including interacting with AI/LLM APIs and building small‑scale automation or orchestration components.
• Understanding of secure AI development practices, including safe prompt design and data‑handling minimization.
• Experience implementing workflows that incorporate human‑in‑the‑loop validation or approval steps.
• Exposure to cyber security concepts such as detection engineering, incident response, threat intelligence, or security operations.
• Experience working with AWS services such as Lambda, S3, CloudWatch, Step Functions, or DynamoDB.

Nice‑to‑Have Skills

• Experience with RAG patterns, vector databases, or embeddings.
• Familiarity with model safety evaluations or responsible AI frameworks.
• Prior work building prototypes or proof‑of‑concept AI tools.
• Understanding of secure coding principles and adversarial AI risks.

Must Have

• 2–5 years of experience in AI/ML engineering, data engineering, or software engineering roles
• AWS Bedrock (model provisioning, API integration, prompt configuration, model evaluation)
• AWS (Lambda, S3, CloudWatch, Step Functions, or DynamoDB)
• Experience implementing workflows that incorporate human‑in‑the‑loop validation or approval steps
• Exposure to cyber security concepts such as detection engineering, incident response, threat intelligence, or security operations
• Python (interacting with AI/LLM APIs and building small‑scale automation or orchestration components)
• Understanding of secure AI development practices, including safe prompt design and data‑handling minimization