Collaborate with cybersecurity leaders to implement secure AI architectures, data protection ... Bachelor's degree in computer science, Engineering, Data Science, or related field. Master's or PhD ...
Collaborate with cybersecurity leaders to implement secure AI architectures, data protection ... Bachelor's degree in computer science, Engineering, Data Science, or related field. Master's or PhD ...
AI Solution Architect with Security Clearance
Nellis Air Force Base, NV · On-site
$100K - $225K/yr
... LLM backed assistants, model augmented decision aids, or automation that expands what a small team ... This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits ...
AI Solution Architect with Security Clearance
Nellis Air Force Base, NV · On-site
$100K - $225K/yr
... LLM backed assistants, model augmented decision aids, or automation that expands what a small team ... This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits ...
Llm In Cybersecurity information
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 are the key skills and qualifications needed to thrive as an LLM in Cybersecurity?
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.
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 the difference between Llm In Cybersecurity vs Cybersecurity Analyst?
| Aspect | Llm In Cybersecurity | Cybersecurity Analyst |
|---|---|---|
| Required Credentials | Legal degree, cybersecurity certifications (e.g., CISSP, CEH) | Security certifications (e.g., CompTIA Security+, CISSP), relevant experience |
| Work Environment | Legal and cybersecurity teams, policy development, compliance | Security operations centers, incident response, threat analysis |
| Employer & Industry Usage | Law firms, corporate legal departments, cybersecurity firms | Businesses, 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.
What are popular job titles related to Llm In Cybersecurity jobs in Nevada?
For Llm In Cybersecurity jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Llm In Cybersecurity jobs in Nevada look for?
The top searched job categories for Llm In Cybersecurity jobs in Nevada are:
What cities in Nevada are hiring for Llm In Cybersecurity jobs?
Cities in Nevada with the most Llm In Cybersecurity job openings:
Full-time
Re-posted 12 days ago
Job description
Description
Position Summary
The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.
Essential Job Functions
Position Requirements
Preferred
Core AI Concepts and Technologies Required
Machine Learning & Modeling
AI Engineering & MLOps
Cloud & Infrastructure
Responsible AI & Governance
Programming & Tooling
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
Position Summary
The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.
Essential Job Functions
- Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
- Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
- Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
- Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
- Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
- Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
- Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
- Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
- Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
- Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
- Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
- Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
- Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
- Perform other duties as assigned.
Position Requirements
- Bachelor's degree in computer science, Engineering, Data Science, or related field. Master's or PhD preferred.
- 12-15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
- Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
- Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
- Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
- Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
- Proven ability to lead and inspire diverse technical teams.
- Ability to drive outcomes, influence strategic decisions, and deliver business value.
- Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
Preferred
Core AI Concepts and Technologies Required
Machine Learning & Modeling
- Supervised, unsupervised, reinforcement learning
- Deep learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP) & LLMs
- Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
- Model training, deployment, monitoring, and retraining
- Feature stores, vector databases, and model registries
- CI/CD pipelines for ML (MLOps)
- GPU/accelerator compute architectures
Cloud & Infrastructure
- Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
- Kubernetes, containerization, microservices
- Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
- Model explainability (SHAP, LIME)
- Fairness, bias detection, model risk controls
- Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
- Python, PyTorch, TensorFlow, JAX
- LangChain, semantic search, vector embeddings
- Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.