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Llm In Cybersecurity Jobs in Andover, MA (NOW HIRING)

Seven AI

Senior AI Engineer

Boston, MA · On-site

$120 - $150/hr

Ensure the reliability of ML models in production. * Continuously monitor and improve model ... cybersecurity. You'll have the opportunity to work on the bleeding edge of technology and drive ...

SevenAI

Senior Platform Engineer

Boston, MA · On-site

$113K - $155K/yr

Experience working closely in and with development teams, and proven ability to change production ... Curiosity and drive to work at the intersection of AI and cybersecurity. Nice to Have * Experience ...

Unframe

AI Transformation Architect

Boston, MA · On-site

$68.50 - $90.25/hr

... bring LLM-powered applications to life in days - not months. We combine the speed of a product ... You'll demo AI-powered use cases across multiple industries - from finance to cybersecurity to ...

Unframe

AI Transformation Architect

Boston, MA

$68.50 - $90.25/hr

... bring LLM-powered applications to life in days - not months. We combine the speed of a product ... You'll demo AI-powered use cases across multiple industries - from finance to cybersecurity to ...

Envestnet

Lead AI Quality Assurance Engineer

Boston, MA · Hybrid

$140K/yr

Working at the intersection of engineering, data science, product, cybersecurity, and business ... We value flexibility in how and where work gets done, and we recognize strong performance with ...

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Llm In Cybersecurity information

See Andover, MA salary details

$57.7K

$134.7K

$188.4K

How much do llm in cybersecurity jobs pay per year?

As of Sep 4, 2026, the average yearly pay for llm in cybersecurity in Andover, MA is $134,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $151,900.00 per year, depending on experience, location, and employer.

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 cities near Andover, MA are hiring for Llm In Cybersecurity jobs?

Cities near Andover, MA with the most Llm In Cybersecurity job openings:

Llm In Cybersecurity jobs near you
Infographic showing various Llm In Cybersecurity job openings in Andover, MA as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $134,672 per year, or $64.7 per hour.

AI Researcher/Prototyping Engineer

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions. 

We specialize in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data—including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation’s top cyber organizations. 

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory’s efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE). 

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems. 

Job Description

Technical staff members: 

  • Design, program, and architect advanced ML methods. 
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. 
  • Publish and present research at premier conferences. 

The AI Technology and Systems Group is seeking motivated for applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include: 

  • Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. 
  • Applying innovative methods to challenging, real-world problems. 
  • Working in a collaborative, team-oriented development environment. 

This is an opportunity to apply your skills to some of the most important technical challenges of our time—while learning from and contributing to a world-class research community. 

Qualifications:

Candidate should possess a PhD in electrical engineering, computer science or other relevant discipline, or a Master's with 5 years of relevant experience, will be considered.

Desired Skills:
  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial/assurance experience. 
  • Deep AI/ML experience – graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers. 
  • System analysis & problem decomposition – can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems. 
  • Operate within a rapid research-to-prototype pipeline – demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement. 
  • Agentic-AI framework experience – hands-on work with LangChain or comparable toolkits; able to design, implement, and evaluate end-to-end LLM-driven agents. 
  • Advanced Python & ML libraries – expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, NumPy/pandas/Scipy, etc. 
  • Software-engineering best practices – strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases. 
  • Team and Project leadership – experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff. 
  • Stakeholder communication – strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.  
  • Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision. 
  • Current TS/SCI clearance or willingness to obtain one. 

Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.


Requisition ID: 43123 

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