Liberty Mutual Insurance
Pay Range
Liberty Mutual Insurance Base Pay: $175,000 – $315,000 per year.
Job Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.
At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation, and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.
Hybrid Work Schedule (2 days onsite):
candidates based in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; and Columbus, OH.
About The Job The Security Architecture & Innovation team within the Global Cybersecurity (GCS) organization is seeking a seasoned
GenAI Security Platform Architect
with expertise in securing AI/ML systems and GenAI applications. The candidate will define and drive the security architecture, controls, and governance for our AI platforms, models, and AI-enabled products, partnering with Data Science, Enterprise Data & Analytics Technology, MLOps, Platform/Cloud, Legal/Privacy, and Global Cybersecurity Governance Risk and Compliance to design secure‑by‑design AI solutions.
Responsibilities
Architecture and strategy.
Define and own the end-to-end security architecture for AI/ML systems (training, fine‑tuning, inference/serving, RAG, agents, and integrations).
Develop and maintain reference architectures and guardrails for common AI patterns (e.g., RAG with vector databases, multi‑agent workflows/orchestration, LLM API integrations, on‑prem vs. cloud model hosting).
Build and maintain an AI security controls library mapped to frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM Apps, MITRE ATLAS).
Risk management: establish risk appetite and control requirements across the AI lifecycle; perform design reviews and signoffs for AI initiatives.
Define security baselines, secure configurations, and kill‑switch/rollback strategies for AI components.
Continuously assess threat landscape and update risk models specific to AI/ML, GenAI, and insurance sector adversaries.
Secure AI development and MLOps: integrate security into the ML/LLM SDLC and CI/CD pipelines (dataset curation, feature engineering, model training, evaluation, packaging, registry, deployment).
Partner across Global Cybersecurity, Global Digital Solutions, and Liberty IT to enforce least privilege, secrets management, and policy‑as‑code for AI pipelines and serving infrastructure.
Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines.
Adversarial robustness and safety: recommend and conduct adversarial testing and red‑team activities (prompt‑injection, jailbreak, model evasion) and provide defenses (content moderation, prompt hardening).
Drive monitoring for model drift, anomaly detection, and harmful output prevention; develop response playbooks for AI incidents.
Data protection and privacy: ensure data minimization, classification, encryption, and access controls for training and inference data, and comply with global privacy regulations.
Governance and compliance: define AI security governance, policies, and standards; support vendor/security assessments for AI services and model providers.
Enablement and leadership: evaluate and select AI security tools; manage POCs and guide build‑vs‑buy decisions; mentor teams on best practices.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience.
Minimum 8+ years in Cybersecurity, with 3+ years focused on securing AI/ML systems or GenAI applications in production.
CISSP certification required.
Deep technical experience designing secure architectures for ML pipelines, GenAI workloads, and cloud‑native environments.
Strong knowledge of AI‑specific threats and mitigations (data poisoning, prompt injection, model theft, etc.).
Practical familiarity with security frameworks and standards (NIST AI RMF, OWASP Top 10, MITRE ATT&CK, etc.).
Hands‑on experience with identity and access controls, secrets management, encryption, DLP, and monitoring/logging for AI systems.
Strong influencing and consensus building skills, adaptability to change, and excellent written and verbal communication.
Preferred Qualifications
Experience with enterprise GenAI platforms: SageMaker, Vertex AI, Azure OpenAI, etc.
Exposure to LLM/GenAI tooling (LangChain, Semantic Kernel, vector DBs, guardrails).
Observability skills using Prometheus, Grafana, ELK, or similar.
Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus.
How We Work
Partner‑first: embed with Data Science, MLOps, and Product teams to enable speed with safety.
Automate‑by‑default: codify controls in pipelines and platforms rather than relying on manual gates.
Measurable risk management: define clear control objectives, metrics, and continuous improvement loops.
About Us As a purpose‑driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers.
Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. Payments may include commission and/or bonus earnings.
Equal Opportunity Liberty Mutual is an equal‑service or equal‑opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information, or on any basis prohibited by federal, state or local law.
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Job Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.
At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation, and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.
Hybrid Work Schedule (2 days onsite):
candidates based in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; and Columbus, OH.
About The Job The Security Architecture & Innovation team within the Global Cybersecurity (GCS) organization is seeking a seasoned
GenAI Security Platform Architect
with expertise in securing AI/ML systems and GenAI applications. The candidate will define and drive the security architecture, controls, and governance for our AI platforms, models, and AI-enabled products, partnering with Data Science, Enterprise Data & Analytics Technology, MLOps, Platform/Cloud, Legal/Privacy, and Global Cybersecurity Governance Risk and Compliance to design secure‑by‑design AI solutions.
Responsibilities
Architecture and strategy.
Define and own the end-to-end security architecture for AI/ML systems (training, fine‑tuning, inference/serving, RAG, agents, and integrations).
Develop and maintain reference architectures and guardrails for common AI patterns (e.g., RAG with vector databases, multi‑agent workflows/orchestration, LLM API integrations, on‑prem vs. cloud model hosting).
Build and maintain an AI security controls library mapped to frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM Apps, MITRE ATLAS).
Risk management: establish risk appetite and control requirements across the AI lifecycle; perform design reviews and signoffs for AI initiatives.
Define security baselines, secure configurations, and kill‑switch/rollback strategies for AI components.
Continuously assess threat landscape and update risk models specific to AI/ML, GenAI, and insurance sector adversaries.
Secure AI development and MLOps: integrate security into the ML/LLM SDLC and CI/CD pipelines (dataset curation, feature engineering, model training, evaluation, packaging, registry, deployment).
Partner across Global Cybersecurity, Global Digital Solutions, and Liberty IT to enforce least privilege, secrets management, and policy‑as‑code for AI pipelines and serving infrastructure.
Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines.
Adversarial robustness and safety: recommend and conduct adversarial testing and red‑team activities (prompt‑injection, jailbreak, model evasion) and provide defenses (content moderation, prompt hardening).
Drive monitoring for model drift, anomaly detection, and harmful output prevention; develop response playbooks for AI incidents.
Data protection and privacy: ensure data minimization, classification, encryption, and access controls for training and inference data, and comply with global privacy regulations.
Governance and compliance: define AI security governance, policies, and standards; support vendor/security assessments for AI services and model providers.
Enablement and leadership: evaluate and select AI security tools; manage POCs and guide build‑vs‑buy decisions; mentor teams on best practices.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience.
Minimum 8+ years in Cybersecurity, with 3+ years focused on securing AI/ML systems or GenAI applications in production.
CISSP certification required.
Deep technical experience designing secure architectures for ML pipelines, GenAI workloads, and cloud‑native environments.
Strong knowledge of AI‑specific threats and mitigations (data poisoning, prompt injection, model theft, etc.).
Practical familiarity with security frameworks and standards (NIST AI RMF, OWASP Top 10, MITRE ATT&CK, etc.).
Hands‑on experience with identity and access controls, secrets management, encryption, DLP, and monitoring/logging for AI systems.
Strong influencing and consensus building skills, adaptability to change, and excellent written and verbal communication.
Preferred Qualifications
Experience with enterprise GenAI platforms: SageMaker, Vertex AI, Azure OpenAI, etc.
Exposure to LLM/GenAI tooling (LangChain, Semantic Kernel, vector DBs, guardrails).
Observability skills using Prometheus, Grafana, ELK, or similar.
Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus.
How We Work
Partner‑first: embed with Data Science, MLOps, and Product teams to enable speed with safety.
Automate‑by‑default: codify controls in pipelines and platforms rather than relying on manual gates.
Measurable risk management: define clear control objectives, metrics, and continuous improvement loops.
About Us As a purpose‑driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers.
Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. Payments may include commission and/or bonus earnings.
Equal Opportunity Liberty Mutual is an equal‑service or equal‑opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information, or on any basis prohibited by federal, state or local law.
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