AI Security Engineer

Prologis • Milpitas, CA

23h • Onsite

About The Position

At Prologis, we define the industry with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion, creating intelligent infrastructure that powers global commerce. We seamlessly connect digital and physical worlds, from agile supply chains to energy solutions, helping businesses move faster, operate smarter, and grow sustainably. Prologis is expanding into AI-driven capabilities and is seeking an AI Security Engineer to build, enable, and secure AI across the enterprise. This fast-paced team is 100% cloud-based and committed to security and innovation. The role involves learning new AI tools, integrating AI into workflows, and ensuring safe and responsible use of AI technologies. The engineer will collaborate with engineering, security, business teams, and vendors to evaluate and implement AI solutions, with primary goals to enable AI adoption, protect company data, and establish best practices for secure and effective AI usage.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents
• several other wellness, financial, and work/lifestyle-specific benefits
• 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation
• generous PTO with a starting accrual of 22 days a year
• paid holidays
• volunteer time
• quality management and leadership development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed