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Llm In Cybersecurity Jobs in Michigan (NOW HIRING)

Role Purpose Are you passionate about building AI agents and LLM-powered solutions that can ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science ...

Senior Security Researcher

Ann Arbor, MI · On-site

$202 - $278/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in cybersecurity. With our strong partnerships across government and commercial sectors, your work ... You have built, evaluated, or operated LLM-powered attack agents using autonomous pentest ...

... in Computer Science, Cybersecurity, or a related discipline. * Six or more years of security engineering experience, including significant work on AI or ML systems. * Strong understanding of LLM ...

Vice President, Engineering

Ann Arbor, MI · On-site

$176K - $227K/yr

This role is global in nature, with responsibility for managing a distributed engineering ... Deep understanding of security, cyber security best practices for cloud based applications * Strong ...

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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?

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 Michigan look for?

The top searched job categories for Llm In Cybersecurity jobs in Michigan are:

What cities in Michigan are hiring for Llm In Cybersecurity jobs?

Cities in Michigan with the most Llm In Cybersecurity job openings:

Senior AI Engineer - Cybersecurity

Corning

Full-time

Re-posted 3 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

89th of 540 rated manufacturers


Job description

Role Purpose

Are you passionate about building AI agents and LLM-powered solutions that can transform cybersecurity operations?

Join Corning and help modernize how cybersecurity teams detect, prioritize, and respond to incidents through AI, automation, and intelligent workflows.

What is your role?

As a Senior AI Engineer – Cybersecurity, you will design, build, and deploy AI-powered solutions that support Corning’s Cybersecurity Incident Response Team. This role is focused on developing LLM-based applications, AI agents, RAG solutions, and automation pipelines that help analysts work faster, improve decision-making, and automate repetitive security workflows.

Major responsibilities and tasks of the position:Design, develop, and deploy AI agents and LLM-powered applications for cybersecurity and incident response use cases.Build and improve agentic workflows that automate repetitive, high-volume security tasks and support analyst decision-making.Integrate AI solutions with enterprise tools and data sources such as SIEM, EDR, identity, cloud, APIs, ticketing systems, and threat intelligence platforms.Apply secure AI practices, including human-in-the-loop controls, guardrails, prompt-injection mitigation, access controls, monitoring, and auditability.

Key Responsibilities

What do you need to have?

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Cybersecurity, or related field; or equivalent practical experience.3+ years of experience in AI engineering, software engineering, data engineering, machine learning, or applied analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents, RAG, tool integration, orchestration, or automation frameworks.Strong programming skills, preferably in Python.Experience with AI/agent frameworks or tools such as LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic/Claude, Hugging Face, or similar technologies.Experience working with APIs, cloud platforms, data pipelines, automation, or enterprise applications.Familiarity with cybersecurity data or tools such as SIEM, EDR, identity, network, cloud, vulnerability management, incident response, or threat intelligence platforms.

What we offer:

Great benefits above law.Growing environment that supports learning and innovation.Opportunity to work with global teams on AI-enabled cybersecurity solutions.A role where your work can help improve cybersecurity operations through emerging technologies.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com.

More about usCorning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible


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