Principal AI Security Architect
Principal AI Security Architect
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a Principal AI Security Architect to define and lead the AI security governance trust and compliance architecture for our enterprise-grade Agentic AI platform. This platform powers AI assistants that reason plan and deliver outcomes and therefore requires robust security privacy auditability and responsible AI frameworks.
This role involves designing end-to-end AI security guardrails establishing responsible AI policies enforcing model governance and ensuring compliance with evolving AI regulatory and industry standards while maintaining agility in a startup-like environment.
Key Responsibilities:
AI Security Architecture & Guardrails
- Architect security controls guardrails and policy enforcement layers for LLM-driven agents and workflows.
- Define mechanisms for real-time prompt filtering output moderation and tool access restrictions to prevent abuse or unsafe behavior.
- Design secure multi-tenant agent runtime environments (sandboxing isolation permissions) for enterprise deployments.
- Implement dynamic policy enforcement for agent tool usage and sensitive data handling.
Responsible AI & Governance
- Establish a Responsible AI framework for fairness bias detection hallucination control and ethical AI usage in agentic workflows.
- Define and enforce AI model governance policies including model versioning explainability and approval workflows.
- Build auditability pipelines to track model prompts outputs and decision-making chains (critical for compliance and forensics)
- Collaborate with legal compliance and risk teams to align with AI regulatory standards (EU AI Act NIST AI RMF ISO/IEC 42001).
Data Privacy & Compliance
- Architect privacy-preserving AI systems including data minimization PII redaction encryption (at rest/in transit) and secure embedding storage.
- Ensure regional data residency and cross-border compliance (GDPR HIPPA CCPA).
- Design mechanisms for secure API integrations with enterprise systems (OAuth2 JWT zero-trust patterns).
- Implement audit trails and tamper-proof logging for sensitive agent activity.
AI Threat Modeling & Risk Management
- Lead threat modeling for AI agents including prompt injection data exfiltration adversarial inputs and model poisoning attacks.
- Design AI-specific intrusion detection and anomaly detection pipelines for agent workflows.
- Define risk scoring frameworks for agents tools and knowledge sources used within the platform.
Trust Explainability & Transparency
- Build explainability frameworks to trace agent decisions (reasoning chains tool invocation logs).
- Enable trust dashboards for customers to audit model performance decisions and compliance adherence.
- Incorporate AI transparency reporting (e.g. usage logs fairness audits) as part of platform deliverables.
Leadership & Collaboration
- Partner with platform architects backend engineers and ML teams to embed security and governance into every layer of the AI stack.
- Provide technical leadership and mentorship to engineers on AI security patterns and best practices.
- Serve as the subject matter expert for internal and external security/compliance reviews audits and certifications.
Please note: This is a hybrid role that will be based in San Mateo CA or Bellevue WA and requires an in-office presence three days per week (Tuesday - Thursday).
Qualifications :
Required Qualifications
- 10 years in security architecture including SaaS and AI/ML security
- Proven expertise in AI security responsible AI frameworks and model governance
- Strong knowledge of LLM security threats (prompt injection data leakage adversarial attacks) and mitigation strategies
- Experience designing policy enforcement layers guardrails and AI moderation pipelines
- Familiarity with NIST AI Risk Management Framework EU AI Act and ISO/IEC AI governance standards
- Hands-on experience with cloud security (AWS GCP Azure) Kubernetes security and zero-trust principles
- Proficiency with privacy-preserving AI techniques (encryption differential privacy data masking).
- Understanding of auditing and forensic analysis for AI-driven systems
- Programming expertise in Java & Python with a focus on integrating AI security controls.
- Prior experience securing agentic AI platforms conversational AI systems or autonomous agents.
Preferred Qualifications
- Knowledge of AI explainability techniques (SHAP LIME model introspection) in LLM contexts
- Familiarity with secure prompt and response pipelines (LangChain Guardrails NeMo Guardrails etc.)
- Contributions to open-source AI security/governance tools
- Experience in AI policy advocacy compliance certifications (SOC2 ISO27001) or security leadership in regulated industries
Additional Information :
The annual base salary range for this position is $260500 - $374440.
Compensation is based on a variety of factors including but not limited to location experience job-related skills and level. Bonus/equity may be available.
Freshworks offers multiple options for dental medical vision disability and life insurances. Equity ESPP flexible PTO flexible spending commuter benefits and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits.
At Freshworks we are creating a global workplace that enables everyone to find their true potential purpose and passion irrespective of their background gender race sexual orientation religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant richer work environment that advances the goals of our employees communities and the business.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
