Enterprise Application Engineer (Enterprise Security - Security AI)
$149k - $260k • Remote • California - San Francisco
Posted 16d ago
Job Location
California - San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
Salesforce Enterprise Security is seeking an Enterprise Application Security Engineer for their Secure AI team. In this role, you will collaborate with business stakeholders and technology partners to ensure AI tooling meets Salesforce's security requirements as AI is deployed at scale. You will have the opportunity to identify emerging threats, design processes that balance security and business agility, and share your knowledge through internal events, conferences, and research.
Responsibilities
- Conduct in-depth security assessments of AI technologies, including architecture and design reviews, code reviews, and penetration tests.
- Provide guidance on remediation and feature enhancements for AI technologies.
- Threat model common attacker methods to develop mitigation techniques.
- Collaborate with engineering teams and business partners to drive solutions through a secure development lifecycle.
- Define technical security standards and guidelines.
- Research new technologies, emerging threats, and vulnerabilities.
- Build tools to enable the secure use of AI at scale.
Requirements
- 5+ years of experience in a security engineering role including Application Security and Pen testing experience (Senior/SMTS).
- 8+ years of experience in a security engineering role including Application Security and Pen testing experience (Lead/LMTS).
- Experience developing automated processes and improving tooling to identify and solve problems at scale.
- Experience with large language models (LLMs) and agentic systems, including building, evaluating, or securing them.
- Experience with AI security attack surfaces such as prompt injection, data exfiltration, privilege escalation in agents, and model supply chain risks.
- Understanding of RAG architectures, classifier models, and retrieval and generation pipelines.
- Excellent interpersonal, collaboration, and critical-thinking skills.
- A related technical degree is required.