AI Platform Security Engineer Hybrid

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

$128K-$172K not verified - timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

May 27, 2026 not verified - timestamp not recorded

Where they hire

State eligibility is not yet verified.

About this role

AI Platform Security Engineer Hybrid 2 Locations The application window is expected to close on: 05/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position. Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security -partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and implement secure cloud architectures that enable enterprise-scale Generative AI platforms and services. Establish security guardrails, IAM strategies, and network controls to ensure AI workloads are deployed safely and compliantly. Embed security controls into CI/CD pipelines and infrastructure-as-code workflows to proactively reduce cloud misconfiguration risk. Lead threat modeling and risk assessments for AI systems to protect sensitive data, models, and inference endpoints. Partner with AI engineers, platform teams, and GRC stakeholders to operationalize security standards that enable innovation while reducing risk. Success in this role means delivering scalable cloud security patterns that

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