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Llm In Cybersecurity Jobs in Massachusetts (NOW HIRING)

The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are ... Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI tools ...

The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are ... Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI tools ...

Senior Platform Engineer

Boston, MA · On-site

$113K - $155K/yr

Required : • 5+ years of experience in Platform, DevOps, or Software Engineering roles. • ... Company : 7AI provides an AI-driven cybersecurity platform that utilizes AI agents to manage the ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... of cybersecurity and automation. We're building at the bleeding edge of AI, blending deep ... Experienced in building real LLM applications - you've shipped systems that use large models ...

You'll work at the intersection of cybersecurity, AI, and product innovation-building systems that ... The ideal candidate is deeply technical, AI-native in how they build, and energized by solving ...

Senior Sales Engineer (Boston, MA)

Boston, MA · On-site

  • Medical

  • Retirement

  • PTO

... and LLM workflows your infrastructure already runs on, raising the capability of everything it ... VulnCheck in strengthening their cybersecurity posture. Although this is a 100% remote role ...

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 are popular job titles related to Llm In Cybersecurity jobs in Massachusetts?

For Llm In Cybersecurity jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Llm In Cybersecurity jobs in Massachusetts look for?

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

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

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

AI Risk & Compliance Analyst

Whoop

Boston, MA • On-site

Other

Posted 29 days ago


Job description

At WHOOP, we are on a mission to unlock human performance and extend healthspan. The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are identified, assessed, and communicated clearly across the organization.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise
risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
  • Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
    LLM integrations, AI agents, and retrieval-augmented workflows
  • Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
    GRC frameworks and translate technical risk into governance requirements
  • Develop, maintain, and refine AI risk and compliance controls aligned with relevant
    frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
    Management Framework, EU AI Act, GDPR, and other applicable standard
  • Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
    tools, including third-party risk scoring, control mapping, and remediation tracking
  • Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
    documented controls, evidence collection, and follow-up on remediation items
  • Support audit activities, capturing evidence and coordinating cross-functional
    stakeholders for internal and external compliance reviews involving AI systems
  • Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
    risk domains, explainability requirements, and compliance obligations
  • Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
    analysis, control effectiveness measurements, and key metrics
  • Monitor emerging AI governance requirements, guidance, and best practices, translating
    them into GRC program updates and compliance recommendations
  • Support security incident documentation and post-incident analysis for AI system events,
    coordinating with Legal and Security teams to ensure appropriate governance response

QUALIFICATIONS:
  • 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
    policy development, audit coordination, and third-party risk management
  • Demonstrated experience performing governance or risk assessments for AI/ML systems,
    including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
  • Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
    misuse, data leakage, explainability gaps) into documented control requirements and
    governance standards
  • Hands-on experience conducting third-party risk assessments for AI vendors, LLM
    platforms, AI APIs, or machine learning service providers
  • Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
    NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
  • Strong understanding of data governance concepts relevant to AI systems, including
    training data lineage, data retention, model output handling, and human oversight
    requirements
  • Experience supporting regulatory readiness or compliance efforts related to AI systems
  • Proven ability to collaborate with engineering and security teams to validate control
    implementation and remediation
  • Bachelor's degree in Information Security, Computer Science, Business Risk, Compliance,
    or a related field

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.

Whoop logo

About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012