Overview
Remote
On Site
50-80/hr
Contract - W2
Skills
Optimization
Algorithms
Research
Machine Learning (ML)
Collaboration
Workflow
Microsoft Certified Professional
Authentication
Testing
Computer Science
Cyber Security
Artificial Intelligence
Training
Job Details
The Associate AI/Cyber Engineer will assist in the development, implementation, and optimization of advanced AI and machine learning algorithms to detect and mitigate cyber threats.
This role is focused on hands-on technical engineering, involving deep research into AI security models and working closely with other teams to integrate AI solutions into cybersecurity architectures.
Key Responsibilities:
Design, develop, and optimize AI-driven security solutions to identify, predict, and prevent cyber threats.
Implement machine learning models, neural networks, and other AI techniques to enhance threat detection capabilities.
Collaborate with data scientists, security engineers, and other stakeholders to integrate AI technologies into the existing cybersecurity infrastructure.
Analyze data from security incidents to continuously improve AI models and methodologies.
Stay current on industry trends and advancements in both AI and cybersecurity.
Requirements:
Strong knowledge and experience with AI Agents, multi-agent workflows, tool-using agents, and orchestrations frameworks.
Strong understanding of MCP authentication, sandboxing, plugin lifecycle, and secure tool invocation patterns.
Experience implementing guardrails, red-team testing, and automated security scanning for AI pipelines.
Ability to detect, prevent, and remediate AI threats/vulnerabilities such as prompt injection, data poisoning, output manipulations, and other AI specific threats.
Bachelors in Computer Science or equivalent experience.
Specific knowledge and passion for AI and Cybersecurity. AI specific training and certifications are highly preferred.
This role is focused on hands-on technical engineering, involving deep research into AI security models and working closely with other teams to integrate AI solutions into cybersecurity architectures.
Key Responsibilities:
Design, develop, and optimize AI-driven security solutions to identify, predict, and prevent cyber threats.
Implement machine learning models, neural networks, and other AI techniques to enhance threat detection capabilities.
Collaborate with data scientists, security engineers, and other stakeholders to integrate AI technologies into the existing cybersecurity infrastructure.
Analyze data from security incidents to continuously improve AI models and methodologies.
Stay current on industry trends and advancements in both AI and cybersecurity.
Requirements:
Strong knowledge and experience with AI Agents, multi-agent workflows, tool-using agents, and orchestrations frameworks.
Strong understanding of MCP authentication, sandboxing, plugin lifecycle, and secure tool invocation patterns.
Experience implementing guardrails, red-team testing, and automated security scanning for AI pipelines.
Ability to detect, prevent, and remediate AI threats/vulnerabilities such as prompt injection, data poisoning, output manipulations, and other AI specific threats.
Bachelors in Computer Science or equivalent experience.
Specific knowledge and passion for AI and Cybersecurity. AI specific training and certifications are highly preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.