Security Engineer II, StoreSec Application Security

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Offered From the posting source checked Jun 20, 2026

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$159K-$202K From the posting source checked Jun 20, 2026

401(k) match

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

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Role

Role function

Security From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Security Engineer II, StoreSec Application Security Austin, Texas, USA Amazon Healthcare Security's (HealthSec) AI team is hiring a Security Engineer II to secure GenAI applications and enable secure AI adoption across Amazon Health Services (AHS). You will work at the intersection of AI for Security and Security for AI-securing AHS GenAI applications in production, hardening the AI-SDLC for AHS builders, and building AI-powered security tooling that scales protection across healthcare verticals including application security, network and infrastructure security, detections and monitoring, and incident response. Working closely with AHS AI application builders and product teams, you will ensure that AI systems handling healthcare data meet HIPAA compliance and Amazon's security bar while improving security review process efficiency for both builders and peer healthcare security teams. Key job responsibilities Define and drive implementation of proactive security controls for AHS AI applications including GenAI chatbots, agentic systems, and LLM-powered tools Develop and implement security controls for the AI-SDLC, ensuring AHS builders build secure AI applications by default Assess and drive mitigation of AI-specific security risks including prompt injection, model abuse, data exfiltration, and unauthorized tool invocation at scale Build and/or drive adoption of AI-powered security tooling (e.g., automated threat modeling, code scanning, security test generation) to scale security across AHS Drive adoption of AI security guardrails, testing frameworks, and monitoring across AHS GenAI applications Collaborate with AHS builder teams to integrate security guidance into AI development workflows, reducing late-stage security findings Develop and maintain security documentation including AI threat models, risk assessments, and

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