Drimva

Salesforce

Enterprise Application Engineer (Enterprise Security - Security AI)

$148K–$286K

California - San Francisco +6 · Office Tech-Flexible · Full-time · Posted Oct 5, 2026

Location
California - San Francisco
New York - New York
Washington - Seattle
Washington - Bellevue
Texas - Dallas
Virginia - Mclean
Texas - Austin
Experience
5+ years for Senior/SMTS; 8+ years for Lead/LMTS, in security engineering including Application Security and Pen testing.
Education
A related technical degree required.

About the job

Secures Salesforce’s AI tooling by assessing emerging technologies, developing mitigations and standards, and building tools for safe AI deployment at scale.

What you'll do

  • Assess AI technologies through architecture and design reviews, code reviews, and penetration tests; advise on remediation.
  • Threat-model attacks and collaborate with engineering and business partners on secure development standards and solutions.
  • Research threats and vulnerabilities, improve security processes, and build tools for secure AI use at scale.

What they ask for

  • Application Security and penetration-testing experience in a security engineering role.
  • Experience building, evaluating, or securing LLMs and agentic systems.
  • Knowledge of AI security attack surfaces and RAG architectures, classifier models, and retrieval and generation pipelines.
  • A related technical degree; strong interpersonal, collaboration, and critical-thinking skills.

Nice to have

  • Familiarity with ISO 27001, SOC 2, PCI DSS, OWASP Top 10, CWE Top 25, or MITRE ATT&CK.
  • Relevant BA/BS degree and/or certifications such as CRISC, CISSP, CCIE, CISM, CISA, or CCSK; experience defining and communicating remediation tasks.

Pay

USD $148,500 - $260,100 annually base salary; USD $178,900 - $285,800 annually base salary

Tools

LLMs, RAG, ISO 27001, SOC 2, PCI DSS, OWASP Top 10, CWE Top 25, MITRE ATT&CK

AI focus

Secures AI tooling and agentic systems; assesses AI threats and attack surfaces, and builds tools and processes to enable secure AI deployment at scale.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)