OT Cybersecurity Engineer deploying and managing security solutions for operational technology environments at Solventum. Collaborates with teams to improve security posture and provide user support.
About the role
- 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.
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
- 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
- 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
- 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.
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