AI Security Engineer Principal Cyber AI Engineer | Remote role

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence
Cyber Security
Algorithms
Cloud Computing
Machine Learning (ML)
IT Management
Microsoft Azure
Cloud Security
Collaboration
Microsoft Certified Professional
Research
MCP

Job Details

Hello

Please check the below position and reply back with the details and updated resume if you are interested.

Title: AI Security Engineer Principal Cyber AI Engineer

Location Remote

Duration: Long Term

Job Summary:

  • The Principal Cyber AI Engineer will play a key role 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 leadership, 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.
  • Provide technical leadership and mentorship to junior engineers in AI and machine learning technologies.
  • Stay current on industry trends and advancements in both AI and cybersecurity.

Required skills:

  • Knowledge of AI Lifecycle
  • Candidate should be able to walk through high-level phases of an AI lifecycle confidently.
  • Strong Understanding of Nist Framework
  • Must know the major pillars of Nist (should be able to name 4-5 key pillars).
  • Specific knowledge of Prompt Injection as a top security risk is critical.
  • Top Security Risks in AI Systems
  • Can articulate at least 2 3 major security threats in AI pipelines, with prompt injection being one of them.
  • MCP (Model Control Plane)
  • Knowledge Understands the flow and key components of MCP.
  • Can give real examples of how MCP is implemented or used with clients.
  • Cloud Security Experience (Especially Azure)
  • Hands-on experience with Azure cloud tools.
  • Should be able to break down security groups, AI tools within Azure, and their interaction with enterprise environments.
  • Able to discuss security considerations in cloud-native AI environments

Thanks,

Max | KLNtek

Lead - Recruitment

Email:

US:
India/Whatsapp: +91-

324 E Foothill Blvd, Ste 206, 91006 Arcadia, California

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