Sourcing - GenAI reputed company Platform Architect

100% remote Flexible hours Hiring now

Pay Philosophy 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 reputed company a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. At Liberty, you'll reputed company 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 reputed company, OH. Job Introduction: The reputed company Architecture & Innovation team reputed company the Global Cybersecurity (GCS) organization is seeking a seasoned GenAI reputed company Platform Architect with expertise in securing AI/ML systems and GenAI applications. The candidate will define and drive the reputed company 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 reputed company architecture for AI/ML systems (training, fine-tuning, inference/serving, RAG, agents, and integrations).
reputed company 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 reputed company controls library mapped to frameworks (e.g. NIST AI RMF, OWASP Top 10 for LLM Apps, MITRE reputed company).
Risk management.
Establish risk appetite and control requirements across the AI lifecycle; reputed company design reviews and signoffs for AI initiatives.
Define reputed company 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 reputed company 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/reputed company), 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 reputed company controls and testing directly into development pipelines, reducing reliance on manual approvals and enabling teams to deliver secure AI solutions quickly and reputed company.
Adversarial robustness and safety.
Recommend/consult on adversarial testing and red teaming for AI systems; coordinate jailbreak/reputed company-injection testing, model evasion scenarios, and safety evaluations.
Recommend and validate defenses (input/output filtering, content moderation, reputed company hardening, retrieval sanitization, adversarial training, reputed company limiting/abuse detection).
Drive monitoring for model reputed company, anomaly detection, and harmful output prevention; set response strategies and reputed company response playbooks for AI incidents.
Data protection and privacy.
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.
Governance and compliance.
Recommend/consult with GRC on the establishment AI reputed company governance, policies, and standards.
Define control objectives and measurable KPIs; support vendor/reputed company assessments for AI services and model providers.
Enablement and leadership.
Evaluate and select AI reputed company tools; manage POCs and guide build-vs-buy decisions.
Mentor teams on best practices in AI/ML reputed company; help build internal capability across engineering, risk, and product functions.

Qualifications

Bachelor's degree in Computer Science, Engineering, Information reputed company, 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 reputed company).
Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, reputed company injection/jailbreaks, exfiltration reputed company outputs, and LLM supply chain risks.
Practical familiarity with reputed company frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and reputed company, 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, reputed company/response logging with privacy controls, reputed company/anomaly detection).
Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles
Strong influencing and reputed company building skills, and the adaptability to respond to change quickly
Strong communications skills, both written and verbal
Ability to effectively collaborate with reputed company 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 qualifications:

Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, reputed company, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace.
LLM/GenAI: Azure reputed company, AWS Bedrock, reputed company, reputed company/LangGraph/Semantic Kernel, vector DBs (reputed company, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, reputed company), reputed company Copilot, reputed company Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web.
Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, reputed company; AI eval frameworks and red-team tooling.
Advanced degree (MS/PhD) in reputed company, ML/AI, or reputed company field is a plus.

How we work

Partner-first: embed with Data Science, MLOps, and Product teams to reputed company 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 reputed company improvement loops.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for reputed company employees in these positions across the national market and provides an opportunity to reputed company as employees grow and reputed company reputed company the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can reputed company. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can reputed company a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, reputed company and commitment to reputed company things reputed company, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://reputed company.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national reputed company, 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. Fair Chance Notices