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Llm In Cybersecurity Jobs (NOW HIRING)

AI Cybersecurity Engineer

Chicago, IL · On-site

$137K - $160K/yr

Headquartered in Chicago, we develop, own, and operate large scale projects that power communities ... LLM Top 10. * Produce architecture diagrams, security patterns, and implementation guidance ...

Headquartered in Chicago, we develop, own, and operate large scale projects that power communities ... LLM Top 10. * Produce architecture diagrams, security patterns, and implementation guidance ...

AI Cybersecurity Engineer

Chicago, IL · On-site

$137K - $160K/yr

Headquartered in Chicago, we develop, own, and operate large scale projects that power communities ... LLM Top 10. * Produce architecture diagrams, security patterns, and implementation guidance ...

In addition to cloud security responsibilities, this role provides security oversight and ... Knowledge of LLM Platforms (Mandatory) Demonstrated hands-on and architectural knowledge of ...

No If yes, length of term in months. NA Is this a grant funded position? No Position Purpose The ... OWASP LLM Top 10, MITRE ATLAS) and practical experience securing or integrating enterprise AI ...

In this position, you will serve as the technical visionary and hands-on architect responsible for ... Establish security standards and frameworks for AI development, incorporating OWASP LLM Top 10, ...

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Llm In Cybersecurity information

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How much do llm in cybersecurity jobs pay per year?

As of Jul 7, 2026, the average yearly pay for llm in cybersecurity in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the salary of LLM in cyber security?

The salary for professionals with an LLM in cybersecurity varies based on experience, location, and role, but typically ranges from $80,000 to $150,000 annually. Individuals with specialized skills in legal aspects of cybersecurity or compliance may earn higher salaries, especially in senior or managerial positions.

Which LLM is best for cyber security?

For a cybersecurity professional working with large language models (LLMs), models like OpenAI's GPT-4 and Google's Bard are widely used due to their advanced natural language understanding and generation capabilities. These models can assist in threat analysis, security automation, and incident response, often integrated with security tools and platforms. Selecting the best LLM depends on specific use cases, data privacy requirements, and available technical expertise.

What are the key skills and qualifications needed to thrive as an LLM in Cybersecurity, and why are they important?

To excel as an LLM in Cybersecurity, you need a solid legal education (LLB or JD), expertise in cybersecurity law, and an understanding of digital privacy regulations. Familiarity with legal research databases, cybersecurity frameworks (such as NIST or ISO), and certifications like CIPP/US or CISSP can be highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in this specialized field. These competencies are critical for interpreting complex legal and technical issues, advising organizations on compliance, and mitigating risks in the rapidly evolving cybersecurity landscape.

What is the use of LLM in cyber security?

In cybersecurity, large language models (LLMs) are used to analyze and detect threats by processing vast amounts of textual data, such as logs and alerts. Cybersecurity professionals leverage LLMs for tasks like threat intelligence, automated incident response, and identifying vulnerabilities, often integrating them with security tools and frameworks to enhance defense strategies.

How does an LLM in Cybersecurity contribute to collaboration between legal and technical teams within organizations?

An LLM in Cybersecurity equips professionals with both legal expertise and a strong understanding of cybersecurity principles, enabling them to act as a bridge between legal and technical teams. Individuals in this role often translate complex legal requirements into actionable security policies or help IT teams understand compliance obligations. This collaboration is vital for ensuring that security strategies align with regulatory standards and that organizations are protected from both legal and cyber risks. As regulations and technologies evolve, professionals with an LLM in Cybersecurity are well-positioned to facilitate communication and foster a culture of compliance and security.

What is an LLM in Cybersecurity?

An LLM in Cybersecurity is a Master of Laws degree focused on the legal, regulatory, and policy aspects of cybersecurity and information privacy. This postgraduate program is designed for lawyers and legal professionals who want to specialize in areas such as cybercrime, data protection, and technology law. Students typically study topics like digital evidence, cyber risk management, and international cybersecurity law. The degree prepares graduates for roles in law firms, government agencies, and corporate legal departments dealing with cybersecurity issues.

What is the difference between Llm In Cybersecurity vs Cybersecurity Analyst?

AspectLlm In CybersecurityCybersecurity Analyst
Required CredentialsLegal degree, cybersecurity certifications (e.g., CISSP, CEH)Security certifications (e.g., CompTIA Security+, CISSP), relevant experience
Work EnvironmentLegal and cybersecurity teams, policy development, complianceSecurity operations centers, incident response, threat analysis
Employer & Industry UsageLaw firms, corporate legal departments, cybersecurity firmsBusinesses, government agencies, IT firms

While Llm In Cybersecurity combines legal expertise with cybersecurity knowledge, Cybersecurity Analysts focus on protecting systems and responding to threats. Both roles require cybersecurity certifications, but Llm In Cybersecurity emphasizes legal and compliance aspects, whereas Cybersecurity Analysts concentrate on technical security measures.

Can you make $500,000 a year in cyber security?

Llm in cybersecurity is a specialized role that can potentially earn $500,000 annually for senior-level professionals with extensive experience, advanced skills, and certifications such as CISSP or CISA. High salaries are often associated with leadership positions, consulting, or working in high-demand industries, but such earnings are not typical for entry-level or mid-career roles.
More about Llm In Cybersecurity jobs
What cities are hiring for Llm In Cybersecurity jobs? Cities with the most Llm In Cybersecurity job openings:
What states have the most Llm In Cybersecurity jobs? States with the most job openings for Llm In Cybersecurity jobs include:
Infographic showing various Llm In Cybersecurity job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 65% In-person, 5% Hybrid, and 30% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
AI Cybersecurity Engineer

AI Cybersecurity Engineer

Invenergy LLC

Chicago, IL • On-site

$137K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Invenergy rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Invenergy is North America's largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview

The AI Cybersecurity Engineer is a principal subject matter expert responsible for designing, securing, and operationalizing AI-enabled cybersecurity capabilities across the enterprise. This role blends deep cybersecurity expertise with applied artificial intelligence and machine learning knowledge to detect threats, secure AI systems, and defend against AI-enabled attacks.

The position is hands-on and execution-focused owning design, implementation, tuning, and continuous improvement of AI-driven security controls while partnering closely with Security Operations, Cloud, Identity, Data, and Engineering teams. This role has no people-management responsibilities but serves as a technical authority and trusted advisor in AI security.

Responsibilities
  • Design, implement, and maintain AI/ML-driven threat detection and response capabilities across cloud, endpoint, identity, and network environments.
  • Detect and defend against AI-enabled and AI-targeted attacks, including prompt injection, model poisoning, data leakage, adversarial ML, and automated social engineering.
  • Engineer high-fidelity detections across SIEM and security platforms and continuously tune for precision and efficacy.
  • Define and implement security controls for AI systems, including model access, training data protection, inference security, and logging.
  • Partner with data science and engineering teams to ensure secure AI lifecycle practices.
  • Assess and mitigate risks associated with third-party and vendor AI platforms.
  • Translate enterprise security policy into enforceable technical controls for AI workloads.
  • Map AI security capabilities to frameworks such as NIST CSF, MITRE ATT&CK, MITRE ATLAS, and OWASP AI/LLM Top 10.
  • Produce architecture diagrams, security patterns, and implementation guidance suitable for audit and executive review.
  • Support incident response involving AI-driven threats or AI system compromise.
  • Research emerging AI threat techniques and translate findings into preventive and detective controls.
  • Lead proof-of-concept efforts for applying AI to detection engineering and security automation.
  • Communicate AI security risks and mitigations to technical teams, risk leaders, and executives.
  • Serve as a technical mentor and subject matter expert without formal people management duties.
Required Qualifications
  • Bachelors Degree in Information Technology, Computer Engineering, or related field.
  • 7+ years of experience in cybersecurity engineering, detection engineering, or security operations.
  • Demonstrated experience in AI or ML techniques in security use cases.
  • Strong knowledge of cloud, identity, endpoint, network, and data security.
  • Proficiency with SIEM platforms, telemetry pipelines, and detection engineering tools.
  • Ability to operate independently and deliver production quality security capabilities.
  • Eligible to work in the United States without the need for employer visa sponsorship now or in the future.
Preferred Qualifications
  • Experience securing large language models (LLMs) or AI platforms in production.
  • Familiarity with secure AI development or MLOps security practices.
  • Scripting or automation experience (Python, PowerShell).
  • Experience in regulated or highly audited environments.

Base Pay

$137,000.00 - $160,000.00 USD Annual
Bonus: 25% - 40%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.


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