Senior Security AI Risk Analyst

Join SIE as a Senior Security AI Risk Analyst, where you will conduct AI security reviews, coordinate risk-focused design and architecture input, and serve as a trusted security partner across various business units. This role requires strong communication skills, a sound understanding of security fundamentals, and a proven ability to build trust and influence across teams. You will be the primary hands-on practitioner in an emerging AI Security capability, working closely with the AI Security strategy lead and specialist teams across SIE.

• Conduct AI security reviews using established security risk assessment methodology, policies, standards, and control expectations, adapting their application to AI-enabled systems.
• Coordinate risk-focused design and architecture input, translating AI-specific weaknesses into decision-ready recommendations and engineering actions.
• Serve as a trusted security partner by providing early consultation, education, and reusable guidance, and track resolution of identified risks.

• Strong communication, empathy, and sound judgment, with the creativity to challenge assumptions, navigate ambiguity, and build trust while operating independently in a fast-moving environment
• Sound understanding of security fundamentals - including identity, permissions, data protection, integrations, and monitoring – and ability to apply these to AI-enabled and agentic systems as well as mapping back to existing security policies and frameworks
• Proven ability to build trust and influence across engineering, product, creative, business, and security teams
• 6+ years of experience building, integrating, assessing, or securing technical systems, including significant recent hands-on work with generative AI
• Familiarity and ability to stay current with emerging AI technologies, evolving security risks, AI risk frameworks, and industry trends
• Strong working knowledge of modern AI application stacks and the ability to interrogate designs, trace data and system interactions, and identify meaningful security weaknesses
• A practical builder mindset, with experience using AI tools, APIs, cloud services, code, or automation to explore systems and improve workflows
• Experience with AI red teaming, adversarial testing, threat modeling, or security evaluations of LLM 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
• Experience reviewing complex technical designs and translating identified weaknesses into practical, prioritized recommendations that support timely delivery
• Relevant certifications are desirable and may include GIAC AI Platform Security (GAIPS), CISSP, CRISC, IAPP AI Governance Professional (AIGP), CCSK, CCSP, or equivalent AI, cloud, or security credentials