Note: The job is a remote job and is open to candidates in USA. The client is a leading cybersecurity services and solutions organization serving enterprises across major industries. The Cybersecurity Engineer will secure cloud-based AI workloads in AWS, implement AI Guardrails and LLM security controls, conduct security testing, and establish monitoring and observability capabilities.
Responsibilities
- Engineer and implement security controls for cloud-based AI workloads and applications within AWS environments
- Secure AI solutions leveraging AWS Bedrock and related cloud services
- Design and implement AI Guardrails to protect LLM-based applications and workloads
- Apply LLM security best practices to address emerging threats and vulnerabilities associated with generative AI
- Leverage CrowdStrike AIDR and/or related technologies to protect AI workloads
- Develop and execute security testing strategies for cloud-based AI environments
- Establish monitoring and observability capabilities to identify security risks, anomalous activity, and potential threats
- Assess AI and cloud environments for security gaps and recommend appropriate technical controls
- Partner with cybersecurity and technology stakeholders to strengthen the security posture of enterprise AI initiatives
- Serve as a senior-level technical resource supporting a major U.S. enterprise organization
Skills
- Strong AWS cloud security engineering experience, including hands-on experience with AWS Bedrock
- Experience implementing and managing AI Guardrails and LLM security controls
- Experience with CrowdStrike AIDR and/or AI workload protection
- Strong security testing, monitoring, and observability capabilities for cloud-based AI environments
- Candidates should be geographically close to Dallas and available for occasional onsite work as needed
Benefits
- Flexible hybrid/remote arrangement
- 6-month contract
Company Overview