1

Llm In Cybersecurity Jobs in Minnesota (NOW HIRING)

... in a customer facing role at a Cloud Security, Cyber Security, or Data Security & Privacy company ... Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer ...

next page

Showing results 1-20

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 Minnesota? For Llm In Cybersecurity jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Llm In Cybersecurity jobs? Cities in Minnesota with the most Llm In Cybersecurity job openings:
Senior AI ML Engineer - Remote

Senior AI ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$124K - $164K/yr

Full-time

Retirement

Posted 12 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum Health is a patient-centered care organization serving communities nationwide by enabling high-quality, fully accountable, value-based care as part of Optum's mission to help millions of people live healthier lives. The work you do with our team directly improves health outcomes by connecting people with the care, resources, and support they need to feel their best. Join us to start Caring. Connecting. Growing together.
Position Summary
As a Senior AI/ML Engineer within the Optum Health & Financial Tech AI team, you will design and build enterprise-scale generative AI applications and agentic workflows that solve complex health and financial technology challenges. You will collaborate with cross-functional partners to develop multi-step reasoning systems, implement advanced Retrieval-Augmented Generation (RAG) pipelines, and craft responsive, full-stack experiences using modern frameworks like React, Next.js, Python, and PostgreSQL. By deploying innovative AI technologies safely and responsibly, you will directly support our mission of delivering impactful, context-aware digital solutions that improve health outcomes and operational efficiency.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design, develop, and deploy enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI
  • Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines
  • Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs
  • Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment)
  • Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses
  • Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability
  • Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices
  • Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle
  • Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction
  • Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or equivalent experience (such as an additional 4+ years of software development experience in lieu of a degree)
  • 6+ years of professional experience in software engineering or AI/ML engineering
  • 4+ years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs)
  • 3+ years of experience with relational database design and optimization using PostgreSQL
  • 2+ years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production
  • 2+ years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases
  • 1+ years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows

Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
  • Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval
  • Deep understanding of distributed systems, microservices architecture, and enterprise application scalability
  • Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs
  • Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development
  • Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
#OptumTechPJ

What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom