Senior Security AI Risk Analyst

Hidden Jobs; United States; Hybrid; USD 168,000 - 251,000; Full time

Benefits offered by this job

Hybrid working policy

Medical, dental, vision coverage

401(k) matching

Bonus package

Employee product discounts

Job summary

Hidden Jobs is seeking a senior security risk assessor focusing on AI systems, agents, workflows, and integrations within a large technology organization. The role is hands-on and operates at the intersection of AI and security architecture.

You will collaborate across engineering, product, governance, and information security teams to support diverse AI use cases, translating findings into practical risk-based recommendations and tracking remediation across responsible AI and governance domains.

Qualifications

• Six or more years of experience building, integrating, assessing, or securing technical systems with 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 for AI-enabled systems.
• Practical builder mindset with experience using AI tools, 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.

Responsibilities

• Lead hands-on security risk reviews of AI use cases and systems from design through launch readiness.
• Assess end-to-end designs to identify material security risks, data lineage, classification, and operational concerns.
• Translate findings into practical, risk-based recommendations and track resolutions with stakeholders.
• Coordinate with responsible AI, governance, security, and engineering teams to deliver consistent reviews.
• Use discovery insights to surface risks, engage system owners, and document work in GRC systems.
• Improve AI security requirements, review practices, reference patterns, and supporting tools as threats evolve.

Skills

Security risk assessment

AI security

System security design

Cross-functional collaboration

GRC documentation

Tools

GRC systems

Job description

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 team, 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, CC SK, 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.