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GenAI Security Platform Architect

Remote / Online - Candidates ideally in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Liberty Mutual Insurance
Remote/Work from Home position
Listed on 2026-01-05
Job specializations:
  • IT/Tech
    AI Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 175000 - 315000 USD Yearly USD 175000.00 315000.00 YEAR
Job Description & How to Apply Below
Location: Indianapolis

Join to apply for the GenAI Security Platform Architect role at Liberty Mutual Insurance.

2 weeks ago. Be among the first 25 applicants.

Pay Information
  • Base pay range: $175,000 - $315,000 per year.
  • Range provided by Liberty Mutual; actual pay based on skills and experience.
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 for candidates based in Portsmouth, NH;
Boston, MA;
Plano, TX;
Indianapolis, IN;
Columbus, OH.

Job Introduction

The Security Architecture & Innovation team within the Global Cybersecurity 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.

Responsibilities
  • Architecture and strategy:
    Define and own the end‑to‑end security architecture for AI/ML systems and build reference architectures for AI patterns such as RAG, multi‑agent workflows, LLM API integrations, on‑prem vs. cloud model hosting.
  • AI security controls library:
    Build and maintain a library mapped to frameworks (NIST AI RMF, OWASP Top 10 for LLM Apps, MITRE ATLAS).
  • Risk management:

    Establish risk appetite, perform design reviews, sign off on AI initiatives, set security baselines, and develop kill‑switch/rollback strategies.
  • Threat monitoring:
    Continuously assess the 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, enforce least privilege, secrets management, and policy‑as‑code across global platforms.
  • Adversarial robustness and safety:
    Recommend and validate defenses, drive monitoring for model drift and harmful output prevention, and develop response playbooks for AI incidents.
  • Data protection and privacy:
    Ensure data minimization, encryption, classification, access controls for training and inference data and comply with global privacy regulations.
  • Governance and compliance:
    Consult with GRC on establishing AI security governance, policies, and standards, define KPIs, and support vendor assessments.
  • Enablement and leadership:
    Evaluate and select AI security tools, guide build‑vs‑buy decisions, and mentor teams on best practices in AI/ML security.
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, cloud‑native environments, and AI‑specific threats.
  • Hands‑on experience implementing IAM, secrets management, encryption, monitoring, and logging for AI services.
  • Practical familiarity with security frameworks and standards (NIST AI RMF, OWASP Top 10, MITRE ATT&CK, MITRE ATLAS).
  • Strong influencing, consensus building, communication skills and ability to adapt to change quickly.
Preferred Qualifications
  • Experience with enterprise GenAI platforms and tools including Sage Maker,…
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