Liberty Mutual Insurance · 2 months ago
GenAI Security Platform Architect
Liberty Mutual Insurance is a Fortune 100 company focused on delivering peace of mind to customers. They are seeking a seasoned GenAI Security Platform Architect to define and drive the security architecture, controls, and governance for AI platforms, ensuring resilient and compliant AI solutions.
FinanceFinancial ServicesInsurance
Responsibilities
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)
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
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 (Cloud/Platforms/Infrastructure/Endpoint), 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, reducing reliance on manual approvals and enabling teams to deliver secure AI solutions quickly and efficiently
Recommend/consult on adversarial testing and red teaming for AI systems; coordinate jailbreak/prompt-injection testing, model evasion scenarios, and safety evaluations
Recommend and validate defenses (input/output filtering, content moderation, prompt hardening, retrieval sanitization, adversarial training, rate limiting/abuse detection)
Drive monitoring for model drift, anomaly detection, and harmful output prevention; set response strategies and develop response playbooks for AI incidents
Ensure data minimization, classification, encryption, and access controls for training and inference data (incl. embeddings and vector stores)
Ensure compliance with global privacy regulations (CCPA, NYDFS, GDPR, etc.) in AI/ML contexts
Recommend/consult with GRC on the establishment AI security governance, policies, and standards
Define control objectives and measurable KPIs; support vendor/security assessments for AI services and model providers
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
Qualification
Required
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
Demonstrated deep technical experience designing secure architectures for ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring)
GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks)
Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security)
Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks
Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar
Hands-on experience implementing identity and access controls for AI services (service principals, fine-grained IAM, token and key management)
Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP
Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection)
Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles
Strong influencing and consensus building skills, and the adaptability to respond to change quickly
Strong communications skills, both written and verbal
Ability to effectively collaborate with all levels of the organization with diverse backgrounds
Strong desire to drive change, and ability to adapt to change quickly
Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders
Preferred
Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace
LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web
Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling
Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus
Benefits
Flexible Time Off Annual Accrual - days: 25
Company
Liberty Mutual Insurance
Liberty Mutual Insurance provides a broad range of insurance products and services.
H1B Sponsorship
Liberty Mutual Insurance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (14)
2023 (5)
2022 (8)
2021 (12)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$886.84M2025-09-17Debt Financing· $886.84M
Leadership Team
Recent News
2026-01-14
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Beinsure - Insurance, Reinsurance, InsurTech Insights
2026-01-14
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