Cybersecurity Engineer

This is a 6-month contract position for a Cybersecurity Engineer located in Dallas, Texas. You will implement and operationalize enterprise security capabilities across cloud-hosted AI platforms, with a focus on establishing preventive, detective, and governance controls for Generative AI and Agentic AI workloads. This role bridges architecture design and hands-on automation, integrating security frameworks into enterprise CI/CD pipelines and cloud security operating models.

Responsibilities

• Design, configure, and maintain security controls for GenAI and Agentic AI solutions in AWS, including AWS Bedrock Guardrails, content filtering, sensitive information redaction, token protection, and model access controls.
• Implement and operationalize runtime protection and detection for foundation models, agents, and cloud workloads.
• Develop and execute adversarial security tests targeting LLMs and AI agents, including prompt injection, jailbreaking, tool abuse, and data exfiltration scenarios.
• Partner with platform and engineering teams to deploy guardrails-as-code using Terraform or CloudFormation, embedding automated AI security checks into deployment pipelines.
• Configure logging, telemetry, and monitoring across AI services to pipe alerts into enterprise SOC platforms.
• Conduct threat modeling and security reviews for RAG architectures, agent orchestration frameworks, and tool integrations aligned with NIST AI RMF and MITRE ATLAS.

Qualifications

• Required

• 5+ years of cloud experience with 1-2+ years in AI security.

• Direct hands-on experience configuring AWS Bedrock Guardrails, model access policies, content moderation filters, and foundation model protections.

• Strong proficiency with AWS core security (IAM, SCPs, AWS Organizations) and Infrastructure as Code (Terraform or CloudFormation).

• Proven experience deploying and managing CrowdStrike Falcon, CrowdStrike AIDR, or equivalent cloud runtime detection platforms.

• Deep technical understanding of RAG architectures, AI agent frameworks, prompt injection mitigations, output validation, and token abuse prevention.

• Practical experience conducting security assessments and penetration tests specific to LLMs, tool integrations, and data leakage scenarios.

• Experience integrating automated security gates and policy-as-code into continuous integration/continuous deployment pipelines.

• Expertise in aggregating AI telemetry via Amazon CloudWatch, SIEM tools, or OpenTelemetry.

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience.

• Proven ability to translate complex AI cybersecurity risks into actionable roadmaps for engineering teams and senior leadership.

• Collaborative mindset with experience working in Agile, cross-functional delivery teams.

• Strong critical-thinking skills to analyze emerging AI threat vectors and quickly adapt defense controls.

• Preferred

• Advanced degree in a relevant field.

• AWS Certified Security - Specialty.

• AWS Certified AI Practitioner or AWS Cloud Practitioner.

• CrowdStrike Falcon Platform Certifications (e.g., CCFA, CCFR).

• CISSP, CCSP, or GIAC Cloud Security (GCSA/GPCS).