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Cyber Security Researcher - AI

tech interacts inc United State
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join our cybersecurity research organisation as a highly skilled Cyber Security Researcher focused on AI. Drive innovation in threat detection, anomaly detection, and research of large language models. Collaborate with cross-functional teams to deploy cutting-edge solutions.

Key Highlights
Conduct research into emerging cyber threats and attack methods
Design, prototype, and validate AI/ML solutions for cybersecurity use cases
Explore vulnerabilities in AI/ML systems and develop mitigation strategies
Collaborate with engineering and security teams to integrate research outputs
Develop technical documentation and present research findings
Technical Skills Required
AI/ML Large Language Models (LLMs) Agentic AI Vector/Semantic Search AI Agents Python Data Science Engineering Cybersecurity
Benefits & Perks
Local W2 employment only
No C2C/C2H/1099
No OPT/H1/CPT
Hybrid work arrangement

Job Description


Cyber Security Researcher – AI

Charlotte, NC (Hybrid) Only Local

W2 only


No C2C/C2H/1099

No OPT/H1/CPT

No relocation


Role Overview


Seeking a highly skilled and motivated Cyber Security Researcher focused on AI to join our cybersecurity research organisation. The role will drive innovation in threat detection, anomaly detection, research of large language models (LLMs), agentic AI solutions, and assist in translating those into operational cyber capabilities. You will work closely with cross-functional teams (security operations, data science, engineering) to research, prototype, and deploy cutting-edge solutions that support our cyber defence posture.


Key Responsibilities


  • Conduct research into emerging cyber threats and attack methods, especially in the context of AI/ML, LLMs, and agentic AI.
  • Design, prototype and validate AI/ML solutions (including LLM-based, retrieval-augmented, vector/semantic search, AI agents) for cybersecurity use cases (e.g., threat hunting, anomaly detection, response automation).
  • Explore vulnerabilities in AI/ML systems (prompt-injection, adversarial attacks, model drift, supply-chain risks) and develop mitigation strategies.
  • Build proof-of-concepts, work with data engineers/scientists to deploy scalable solutions, productionize when applicable.
  • Collaborate with engineering and security teams to integrate research outputs into workflows, toolchains, and security operations.
  • Develop technical documentation, present research findings, engage with senior stakeholders to advocate deployment of new capabilities.
  • Keep abreast of industry trends in AI/ML, generative models, cybersecurity, and map those into research roadmaps for the organization.


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