Senior Security AI Risk Analyst

Role overview

A senior individual contributor role focused on security risk assessment for AI systems, agents, workflows, and integrations within a large technology organization. The position operates at the intersection of modern AI, security architecture, and enablement, serving as the primary hands-on practitioner in an emerging AI security capability. The role collaborates cross-functionally with engineering, product, governance, and information security teams to support a diverse range of AI use cases.

Responsibilities

- Lead hands-on security risk reviews of AI use cases and systems from early design through launch readiness. - Assess end-to-end designs to identify material security risks, control gaps, data lineage and classification, and operational concerns. - Translate findings into practical, risk-based recommendations and partner with stakeholders to track resolution. - Coordinate with responsible AI, governance, security, and engineering teams to deliver consistent, well-informed reviews. - Use discovery insights and tooling to surface emerging risks, engage system owners, and support remediation, documenting work within GRC systems. - Improve AI security requirements, review practices, reference patterns, and supporting tools as technologies and threats evolve, while tracking portfolio trends and escalating matters requiring additional expertise.

Requirements

- Six or more years of experience building, integrating, assessing, or securing technical systems, including significant recent hands-on work with generative AI. - Strong working knowledge of modern AI application stacks and the ability to interrogate designs, trace data and system interactions, and identify meaningful security weaknesses. - Sound understanding of security fundamentals, including identity, permissions, data protection, integrations, and monitoring, and the ability to apply them to AI-enabled and agentic systems. - A practical builder mindset with experience using AI tools, APIs, cloud services, code, or automation to explore systems and improve workflows. - Proven ability to build trust and influence across engineering, product, creative, business, and security stakeholders.

Nice to have

- Background in red teaming, adversarial testing, threat modeling, or security evaluations of large language models and agentic systems. - Experience with cloud-based AI platforms, third-party AI services, or enterprise security tooling. - Experience in gaming, interactive entertainment, creator technology, or similarly innovative product environments. - Relevant certifications such as GIAC AI Platform Security, CISSP, CRISC, IAPP AI Governance Professional, CCSK, CCSP, or equivalent credentials.

Benefits and work setup

- Hybrid working policy with base pay determined by knowledge, skills, experience, and location. - Medical, dental, and vision coverage, 401(k) matching, paid time off, and a wellness program. - Employee product discounts and eligibility for a bonus package. - Estimated base pay range of $167,500 to $251,300 USD. - Background checks conducted at the offer stage, with fair chance consideration for qualified candidates.