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Prologis

AI Security Engineer

Prologis

. Design, build, and support AI/ML solutions and integrations across the enterprise .

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 (e.g., GitHub Copilot, ChatGPT, etc.)
  • 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
  • wellness, financial, and work/lifestyle-specific benefits
  • 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation
  • paid time off with a starting accrual of 22 days a year
  • paid holidays and volunteer time

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AIMLLLMsthreat modelingsecurity architecture designsecure code reviewAI frameworksprompt engineeringcloud securityDevSecOps
Soft Skills
collaborationcommunication