Security engineer Jobs in Pasadena, TX

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, 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

Building blocks for success

Required:

• 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

Preferred:

• 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

Hiring Salary Range of: $106,000 - $146,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

Atlanta, Georgia, Cerritos, California, Chicago, Illinois, Dallas, Texas, Los Angeles, California, Miami, Florida, Milpitas, California, Nashville, Tennessee, San Francisco, California, Seattle, Washington