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  • Cybersecurity AI Engineer

    Insight Global (Lincoln, NE)



    Apply Now

    Job Description

    A client of Insight Global's is looking for a Cybersecurity AI Engineer to play a critical role in securing the organization’s AI/ML infrastructure and applications. This position works at the intersection of cybersecurity, artificial intelligence, and operations, focusing on protecting machine learning models, LLMs, data pipelines, and associated services from evolving threats. The ideal candidate combines expertise in security engineering with a deep understanding of AI technologies, and partners across IT, security, and data science teams to implement resilient, compliant, and secure AI solutions.Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

    This candidate will be responsible for:

    • Monitor, evaluate, and enhance the security posture of AI/ML systems, APIs, and model-serving environments.

    • Implement detection mechanisms to identify adversarial AI threats such as model abuse, prompt injection, data poisoning, and model theft.

    • Collaborate with development, operations, and SOC teams to secure AI environments throughout the lifecycle.

    • Automate threat detection and remediation workflows related to AI misuse.

    • Evaluate and integrate AI security tools and model governance solutions.

    • Contribute to the design and implementation of AI-specific threat models and control frameworks.

    • Stay current on emerging threats to AI systems and participate in blue/red/purple team exercises involving LLMs and AI services.

    AI and Security Engineering

    • Secure AI/ML model development and deployment environments (e.g., LLMs, vector databases, training pipelines).

    • Create automated tools to detect and mitigate AI-related threats (e.g., anomalous model outputs, prompt injections).

    • Perform adversarial testing and threat modeling of AI systems.

    • Support logging, monitoring, and alerting for AI/ML environments integrated with SIEM/XDR platforms.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

    Ability to obtain a 6C clearance

    • 1+ years in a cybersecurity, security engineering, or threat detection role.

    • Familiarity with AI ecosystems (Agentic AI + MCP servers)

    • Hands-on experience with machine learning systems, LLMs (e.g., OpenAI, Anthropic, or open-source models), or AI/ML platforms (e.g., SageMaker, Azure ML, Vertex AI).

    • Familiarity with adversarial machine learning concepts, model risk, or AI red teaming is preferred.

    • Experience with SIEM platforms, threat detection tools, or security automation frameworks.

    • Experience in application security, DevSecOps, or secure software development lifecycle (SDLC) is a plus.

    • Knowledge of AI-specific threat frameworks (e.g., MITRE ATLAS, OWASP LLM Top 10).

     

    Familiarity and experience with infrastructure deployment and systems administration • Familiarity with EDR, firewall, IDS/IPS evasion null

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

     


    Apply Now



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