Sr. AI Security Engineer

The Role:

As a Senior AI Security Engineer your primary responsibilitywill be to help define and implement the enterprise security approach for AI adoption. You will develop practical security principles architectural patterns guardrails and assessment approaches that help the organization deploy AI capabilities safely consistently and at scale.

This role will also performrisk assessments of existingAIapplications agentic workflows model-integrated services and supportingdata and access addition the role must be capable of executing baselinesecurityreviewsacross more traditional domains such ascode cloudnetworking APIs identity and applicationdesign when needed.You will partneracrossengineering platform digital and security teams to shape secure designdecisions and reduce risk across both emerging AI capabilities and the broader technology estate.

Heres WhatYoullDo:

• Contributeto andhelpoperationalizethe enterprise AI security strategy including target-state architecture design principles governance guardrails and scalable security patterns for safe AI adoption.

• Develop practical security standards and architectural guidance for AI systems including model usage agentic workflows integration patterns data access identity boundaries and operational controls.

• Lead risk assessments and security reviews of existing AI applications AI-enabled products and agentic solutionsidentifyingmaterial risks related to data exposure excessive privilege insecure integrations unsafe outputs prompt abuse and runtime behavior.

• Execute baseline security reviews across traditional technology domains such as code cloud networking APIs identity and application architecture to support broader enterprise security needs.

• Identifysystemic control gaps recommend pragmatic remediation strategies and influence roadmaps to improve security outcomes across AI and non-AI environments.

• Provideclear technical leadership and executive-ready guidance on AI risk architectural tradeoffs and enterprise security priorities.

Heres WhatYoullBringto the Table:

• 7 years of experience in cybersecurity with a focus on network security application security and risk assessment.

• Expertisein hybrid network environments including on-prem and cloud security architectures (AWS Azure or GCP).

• Experience defining security strategy and architecture for enterprise technology initiatives with the ability to build practical standards patterns and guardrails that scale.

• Demonstratedexpertisein AI security including security assessment of AI applications model-integrated services agentic workflows data handling patterns and attack paths unique to AI-enabled systems.

• Strong ability to translate emerging AI risk into enterprise security strategy architectural guidance governance controls and risk-based adoption decisions.

• Sufficient technical breadth to execute solid baseline security reviews across traditional domains including code cloud networking APIs identity and application architecture.

• Ability toidentifyinsecure design decisions translate technical findings into prioritized recommendations and influence remediation across multiple teams.

• Excellent written and verbal communication skills including the ability to explain complex architectural and risk issues to engineers architects and senior leaders.

• Demonstrated leadership strong judgment and comfortoperatingin ambiguous environments with rapidly evolving technology and risk.

• Experience in large-scale or regulated environments is strongly preferred.