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Llm In Cybersecurity Jobs in Oklahoma (NOW HIRING)

AI Security Engineer Senior Manager

Tulsa, OK · On-site

$104K - $143K/yr

The ~3,000 professionals in DT - US deliver services including: * Cyber Security * Technology ... Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and ...

... and cybersecurity. Headquartered in Tulsa, OK, with regional offices across the U.S., SageNet ... Exposure to cloud-based AI tools, enterprise automation platforms, or large language model (LLM ...

... and cybersecurity. Headquartered in Tulsa, OK, with regional offices across the U.S., SageNet ... Exposure to cloud-based AI tools, enterprise automation platforms, or large language model (LLM ...

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 Oklahoma? For Llm In Cybersecurity jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Llm In Cybersecurity jobs? Cities in Oklahoma with the most Llm In Cybersecurity job openings:

AI Security Engineer Senior Manager

Deloitte

Tulsa, OK • On-site

$104K - $143K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services


Job description

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Qualifications:

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Education:Bachelor's DegreeEmployment Type:

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