Liberty Mutual Insurance
Join to apply for the
GenAI Security Platform Architect
role at
Liberty Mutual Insurance
2 days ago – Be among the first 25 applicants
Liberty Mutual Insurance provided pay range This range is provided by Liberty Mutual Insurance. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.
Base pay range $175,000.00/yr – $315,000.00/yr
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.
This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; and Columbus, OH.
Job Introduction 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. This role partners closely 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 that are resilient to adversarial threats and meet evolving regulatory requirements.
About The Job
Architecture and strategy: Define and own the end‑to‑end security architecture for AI/ML systems.
Build 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).
Develop 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 sign‑offs 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.
Partner across Cybersecurity, Digital Solutions, and Liberty IT to enforce least privilege, secrets management, and policy‑as‑code for AI pipelines.
Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines.
Adversarial robustness and safety: Recommend/consult on adversarial testing and red‑team for AI systems; coordinate jailbreak/prompt‑injection testing, model evasion scenarios.
Data protection and privacy: Ensure data minimization, classification, encryption, and access controls for training and inference data.
Governance and compliance: Recommend/consult with GRC on AI security governance, policies, and standards; define control objectives and KPIs.
Enablement and leadership: Evaluate and select AI security tools; manage POCs and guide build‑vs‑buy decisions.
Mentor teams on best practices in AI/ML security; help build internal capability across engineering, risk, and product functions.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience.
8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production.
CISSP certification required.
Experience designing secure architectures for ML pipelines, GenAI workloads, and cloud‑native environments.
Deep knowledge of AI‑specific threats and mitigations.
Practical familiarity with security frameworks and standards such as NIST AI RMF, OWASP Top 10 (LLM apps), MITRE ATT&CK & ATLAS.
Hands‑on experience with identity and access controls, secrets management, encryption, DLP, and AI system monitoring.
Strong influencing, consensus‑building, and communication skills.
Ability to collaborate with all levels of the organization and drive change quickly.
Preferred Qualifications
Experience with enterprise GenAI platforms and tools (SageMaker, Vertex AI, Azure OpenAI, LangChain, etc.).
Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus.
Observability and AI evaluation frameworks experience.
How We Work
Partner‑first: embed with Data Science, MLOps, and Product teams.
Automate‑by‑default: codify controls in pipelines and platforms.
Measurable risk management: define clear control objectives, metrics, and continuous improvement loops.
About Us The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. As a purpose‑driven organization, Liberty Mutual is committed to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. We continuously offer learning opportunities, comprehensive benefits, and a culture of innovation.
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on any basis prohibited by federal, state or local law.
Fair Chance Notices
California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco
#J-18808-Ljbffr
GenAI Security Platform Architect
role at
Liberty Mutual Insurance
2 days ago – Be among the first 25 applicants
Liberty Mutual Insurance provided pay range This range is provided by Liberty Mutual Insurance. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.
Base pay range $175,000.00/yr – $315,000.00/yr
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.
This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; and Columbus, OH.
Job Introduction 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. This role partners closely 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 that are resilient to adversarial threats and meet evolving regulatory requirements.
About The Job
Architecture and strategy: Define and own the end‑to‑end security architecture for AI/ML systems.
Build 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).
Develop 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 sign‑offs 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.
Partner across Cybersecurity, Digital Solutions, and Liberty IT to enforce least privilege, secrets management, and policy‑as‑code for AI pipelines.
Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines.
Adversarial robustness and safety: Recommend/consult on adversarial testing and red‑team for AI systems; coordinate jailbreak/prompt‑injection testing, model evasion scenarios.
Data protection and privacy: Ensure data minimization, classification, encryption, and access controls for training and inference data.
Governance and compliance: Recommend/consult with GRC on AI security governance, policies, and standards; define control objectives and KPIs.
Enablement and leadership: Evaluate and select AI security tools; manage POCs and guide build‑vs‑buy decisions.
Mentor teams on best practices in AI/ML security; help build internal capability across engineering, risk, and product functions.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience.
8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production.
CISSP certification required.
Experience designing secure architectures for ML pipelines, GenAI workloads, and cloud‑native environments.
Deep knowledge of AI‑specific threats and mitigations.
Practical familiarity with security frameworks and standards such as NIST AI RMF, OWASP Top 10 (LLM apps), MITRE ATT&CK & ATLAS.
Hands‑on experience with identity and access controls, secrets management, encryption, DLP, and AI system monitoring.
Strong influencing, consensus‑building, and communication skills.
Ability to collaborate with all levels of the organization and drive change quickly.
Preferred Qualifications
Experience with enterprise GenAI platforms and tools (SageMaker, Vertex AI, Azure OpenAI, LangChain, etc.).
Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus.
Observability and AI evaluation frameworks experience.
How We Work
Partner‑first: embed with Data Science, MLOps, and Product teams.
Automate‑by‑default: codify controls in pipelines and platforms.
Measurable risk management: define clear control objectives, metrics, and continuous improvement loops.
About Us The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. As a purpose‑driven organization, Liberty Mutual is committed to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. We continuously offer learning opportunities, comprehensive benefits, and a culture of innovation.
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on any basis prohibited by federal, state or local law.
Fair Chance Notices
California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco
#J-18808-Ljbffr