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Llm In Cybersecurity Jobs in California (NOW HIRING)

Our team is composed of industry experts with deep experience in cybersecurity, automation and AI ... Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows. * Hands-on ...

Product Security Engineer - QRA

San Diego, CA ยท On-site

$191K - $271K/yr

Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and ... Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory ...

Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and ... Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory ...

Product Security Engineer - QRA

Foster City, CA ยท On-site

$191K - $271K/yr

Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and ... Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory ...

Staff AI Engineer

San Francisco, CA ยท On-site

$240K - $310K/yr

... in cybersecurity, privacy, and financial audits. We build software for the people who enable trust ... Lead the evolution of Fieldguide's LLM infrastructure: models, prompts, guardrails, and feedback ...

Showing results 21-40

Llm In Cybersecurity information

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 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.

What job categories do people searching Llm In Cybersecurity jobs in California look for? The top searched job categories for Llm In Cybersecurity jobs in California are:
What cities in California are hiring for Llm In Cybersecurity jobs? Cities in California with the most Llm In Cybersecurity job openings:
Infographic showing various Llm In Cybersecurity job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 60% In-person, 14% Hybrid, and 26% Remote job distribution.

Principal AI Engineer

Tenex.AI Inc

San Jose, CA โ€ข On-site, Remote

Full-time

Re-posted yesterday


Job description

Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
  • Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
  • Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
  • Own evaluation & reliability-from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
  • Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
  • Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
  • Push the frontier-experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.

Required Skills & Qualifications
  • Software Engineering & Architecture Expertise
    • 10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
    • Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.
    • Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
    • Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
    • Strong fundamentals in API design (REST/gRPC) and distributed systems.
    • Clear, concise communication skills and a bias for collaborative problem-solving.
  • Nice-to-have
    • Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
    • Experience with graph databases or security-focused knowledge graphs.
    • Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
    • Background leading teams in high-growth startups or enterprise SaaS.
  • Soft Skills
    • Strong problem-solving and analytical skills.
    • Excellent communication and leadership abilities.
    • Ability to mentor and influence engineering teams.
    • Passion for cybersecurity and automation.

Education & Certifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
  • Collaborate with a talented and innovative team focused on continuously improving security operations.
  • Competitive salary and benefits package.
  • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!