Prologis
logistics
AISecurityEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Security Engineer at Prologis. Skills: AI Security, AI/ML, LLMs, Cloud Security, Threat Modeling, Security Architecture, DevSecOps. Design, build, and support AI/ML solutions and integrations across the enterprise. Evaluate and secure AI platforms, LLMs, copilots, and AI-powered development tools”
Industry & Context.
Exercises sound judgment; creative thinking; accountability for outcomes
What They're Looking For.
Must Have
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, collaboration and communication skills
Nice to Have
Experience with API security, identity and access management, and data protection controls, Experience with SAST, DAST, or code scanning tools, Familiarity with privacy, compliance, and data governance concepts, Experience evaluating or securing SaaS platforms and APIs, Background in DevSecOps or security engineering
What You'll Do.
and support AI/ML solutions and integrations across the enterprise
Evaluate and secure AI platforms
and AI-powered development tools
Lead development of AI security controls
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
Assess and mitigate risks related to LLMs
including prompt injection
Contribute to secure architecture patterns for AI-enabled applications and services
Support security reviews
and validation of AI use cases and implementations
Collaborate with cloud
and application teams to ensure secure deployment of AI capabilities
Evaluate and onboard AI vendors and tools
ensuring alignment with security
and compliance requirements
Promote awareness and adoption of secure AI usage practices across the organization
Remain current on emerging AI and security risks
Demonstrate willingness and capability to leverage emerging technology
and AI tools to improve efficiency
How You'll Work.
Team & Collaboration
work across engineering, security, and business teams; work with vendors; Partner with engineering teams; Collaborate with cloud, data, and application teams; work shoulder to shoulder with some of the top talent in the industry
Communication Scope
collaboration and communication skills
Full Job Description
At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. **Job Title:** AI Security Engineer **Company:** Prologis **A day in the life** We’re a fast-paced team with a commitment to security and innovation. We are a leading-edge, no legacy, 100% cloud IT department doing some cool stuff! We are expanding into AI-driven capabilities across Prologis and are looking for someone to help us build, enable, and secure AI across the enterprise. You should be willing to learn whatever it takes to get the job done—from experimenting with new AI tools, to integrating AI into workflows, to ensuring safe and responsible use of AI technologies. You can expect to work across engineering, security, and business teams, as well as with vendors, to evaluate and implement AI solutions. Primary goals are to enable AI adoption, protect company data, and establish best practices for secure and effective AI usage. **Key responsibilities include:** * 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, in
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