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Llm In Cybersecurity Jobs in Colorado (NOW HIRING)

Improve the security of AI-integrated product surfaces, including LLM-connected applications, MCP ... Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or a related field ...

Improve the security of AI-integrated product surfaces, including LLM-connected applications, MCP ... Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or a related field ...

Experience with secure development practices or cybersecurity-focused application development. * Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production ...

Senior Software Engineer

Boulder, CO · On-site

$140K - $185K/yr

You will have a significant impact on the growth of an innovative cybersecurity offering in the SMB ... Contribute to the design of our emerging agentic parsing pipeline (LLM-powered extraction for ...

Senior Manual Ethical Hacker

Denver, CO · On-site

$102K - $132K/yr

Bank of America is committed to an in-office culture with specific requirements for office-based ... LLM security * Mobile application analysis * Able to manually identify and reproduce findings ...

Senior Manual Ethical Hacker

Denver, CO · On-site

$102K - $132K/yr

Bank of America is committed to an in-office culture with specific requirements for office-based ... LLM security * Mobile application analysis * Able to manually identify and reproduce findings ...

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Llm In Cybersecurity information

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.
What are popular job titles related to Llm In Cybersecurity jobs in Colorado? For Llm In Cybersecurity jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Llm In Cybersecurity jobs in Colorado look for? The top searched job categories for Llm In Cybersecurity jobs in Colorado are:
What cities in Colorado are hiring for Llm In Cybersecurity jobs? Cities in Colorado with the most Llm In Cybersecurity job openings:

CyberSecurity AI Engineer

NELNET BUSINESS SOLUTIONS

Centennial, CO • On-site

$115K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.

We need someone who's equally comfortable in security engineering and AI technology, and who's ready to work closely with IT, security, and data science teams to build AI solutions that are secure, compliant, and built to last.
This role calls for real technical depth, sound judgment, and a proactive approach to risk management. Here's what you'll be doing:
- Monitoring and strengthening the security posture of our AI/ML systems, APIs, and model-serving environments
- Building detection and monitoring capabilities to identify risks such as model misuse, prompt injection, data poisoning, and unauthorized model access
- Partnering with development, operations, and security teams to secure AI environments across their full lifecycle
- Automating security monitoring and remediation workflows for AI systems
- Evaluating and implementing AI security tools and model governance solutions
- Contributing to the development of AI-specific risk frameworks, controls, and policies
- Staying current on the evolving AI risk landscape and supporting security assessments and testing of LLMs and AI services

AI and Security Engineering
Secure AI/ML model development and deployment environments, including LLMs, vector databases, and training pipelines.
Build automated tools to detect and mitigate AI-related risks, such as anomalous model outputs and prompt injection attempts.
Conduct security testing and threat modeling for AI systems.
Support logging, monitoring, and alerting for AI/ML environments integrated with SIEM/XDR platforms.
Help design model access controls, encryption, and governance enforcement.
Assist in developing and enforcing AI-related security policies and procedures.

Innovation
Question legacy assumptions and recommend AI-native security approaches.
Identify short- and long-term strategies for securing AI assets in ways that support business value.
Build security prototypes and proof-of-concepts for emerging AI architectures.
Stay current on AI security research and turn findings into practical defenses.

Agility
Adapt as the AI landscape and threat environment continue to evolve.
Navigate ambiguity in AI risk management and compliance requirements.
Help business and technical partners adjust to changing AI security requirements.
Stay responsive and adaptive when incidents involving AI systems arise.

Problem Solving
Investigate security incidents involving AI-generated outputs or manipulated inputs.
Apply critical thinking to defend against emerging AI risks.
Develop layered mitigation strategies across models, APIs, and infrastructure.
Own problem resolution from start to finish.

Collaboration
Partner with CyberSecurity analysts, developers, and AI engineers to defend AI systems.
Mentor peers on emerging risks and best practices in AI/ML security.
Foster cross-functional alignment to build AI security into enterprise roadmaps.

Communication Skills
Translate technical AI security issues into business risk language for stakeholders.
Write clear documentation for detection rules, playbooks, and findings.
Present AI risk scenarios and mitigation strategies to both technical and non-technical audiences.

Strategic Focus
Align AI security efforts with Nelnet's business, compliance, and technology goals.
Serve as a trusted advisor on AI governance, LLM access, and model risk.
Anticipate future regulatory requirements around AI usage and safety.
Deliver security solutions that balance innovation with operational integrity.

**Pay Range for this role is - $115,000 -$155,000 dependent on experience and education.

EDUCATION:
Knowledge equivalent to completing a Bachelor's degree in Computer Science or a related field.

EXPERIENCE:

  • 3 to 5 years of experience in cybersecurity, security engineering, or risk management.

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

  • Familiarity with adversarial machine learning concepts and model risk is preferred.

  • Experience with security tools, monitoring platforms, or security automation frameworks.

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

COMPETENCIES - SKILLS/KNOWLEDGE/ABILITIES:

Needs:

  • Knowledge of security, controls, and computer technology.

  • Ability to lead and motivate others.

  • Ability to apply statistics and probability to identify problems, trends, and relationships in work-related data.

  • Knowledge of at least one computer development language, along with related methodologies and techniques.

  • Understanding of AI system architectures and their security implications.

  • Scripting or development experience in Python or a similar language.

  • Knowledge of AI-specific risk frameworks such as MITRE ATLAS or the OWASP LLM Top 10.

  • Strong analytical skills and comfort working with data, logs, and system telemetry.

  • Ability to work across teams and lead cross-functional security initiatives.

  • Familiarity with regulations governing IT environments.

  • Familiarity with regulatory and ethical frameworks around AI security and model governance.

  • Familiarity with enterprise LLM deployment and governance, including tools like Claude or similar platforms.

  • Familiarity with infrastructure deployment and systems administration.

  • Excellent organizational, presentation, verbal, and written communication skills.

  • Ability to assess and communicate risk and urgency clearly to both management and engineering staff.

  • Strong self-motivation, with the ability to set and follow through on long-term goals.

  • Genuine interest in staying technically current and building new expertise.

  • Comfortable questioning existing assumptions when it makes sense to do so.

  • Openness to changing technology and business needs.

  • Sees change as a chance to grow rather than a disruption.

  • Ability to adjust communication style to fit the audience.

Wants:

  • Knowledge of enterprise risk management and security governance frameworks.

  • Familiarity with common security tooling and methodologies.

  • Solid understanding of machine learning architectures, LLMs (GPT, LLaMA, Claude), and common AI frameworks such as PyTorch, TensorFlow, or Hugging Face.

-Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship

Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc.


Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.


Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.


Nelnet is a Drug Free and Tobacco Free Workplace.


Use of Artificial Intelligence in Hiring


We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring