AI Security Engineer

Prologis

AI Security Engineer at Prologis focused on securing AI integrations and developing AI security controls. Collaborating with engineering and business teams to promote secure AI practices.

Posted 4/22/2026full-timeDenver • California, Colorado, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $106,000 - $146,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Design, build, and support AI/ML solutions and integrations across the enterprise
Evaluate and secure AI platforms, LLMs, copilots, and AI-powered development tools
Lead development of AI security controls, guardrails, and governance frameworks
Perform threat modeling and risk assessments for AI/ML systems and integrations
Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection
Assess and mitigate risks related to LLMs, including prompt injection, model leakage, and data exposure
Contribute to secure architecture patterns for AI-enabled applications and services
Support security reviews, testing, and validation of AI use cases and implementations
Collaborate with cloud, data, and application teams to ensure secure deployment of AI capabilities
Evaluate and onboard AI vendors and tools, ensuring alignment with security, privacy, and compliance requirements
Promote awareness and adoption of secure AI usage practices across the organization
Remain current on emerging AI and security risks, trends, and technologies

Requirements

What you’ll need

Strong hands-on experience with AI/ML technologies, LLMs, or AI development tools
3–5+ years of experience in security engineering, application security, or cloud security
Experience performing threat modeling, security architecture design, and secure code review or testing
Experience developing AI solutions within IDEs, utilizing AI code assistants
Experience working with LLM APIs (OpenAI, Anthropic, etc.)
Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar
Understanding of AI/ML lifecycle and prompt engineering
Familiarity with AI security risks such as prompt injection, data leakage, and model misuse
Experience working in cloud environments (AWS, Azure, or GCP)
Familiarity with secure development practices (DevSecOps)
Working knowledge of OWASP Top 10 and application security principles
Strong collaboration and communication skills.

Benefits

Comp & perks

healthcare, dental, and vision insurance for employees and eligible dependents.
401(k) retirement plan with a company match of 50% up to 12% of eligible compensation.
generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
several other wellness, financial, and work/lifestyle-specific benefits.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML technologiesLLMsAI development toolsthreat modelingsecurity architecture designsecure code reviewAI frameworkscloud environmentssecure development practicesOWASP Top 10

Soft Skills

collaborationcommunication