Senior/Lead AI Security Engineer (Enterprise)

Salesforce; Seattle (WA); On-site; USD 149,000 - 260,000; Full time

Job summary

Salesforce is hiring Senior and Lead Security Engineers for the Secure AI team to help assess and maintain the security of AI tooling. You will partner with stakeholders to ensure security requirements are met at scale, identify emerging threats, and balance security with business agility.

Strong communication and collaboration across technical and non-technical peers are essential. The role emphasizes developing processes, standards, and research to advance secure AI deployment within

Qualifications

• 5+ years of experience in a security role (Senior).
• 8+ years of experience in a security role (Lead).
• Experience with large language models (LLMs) and agentic systems.
• Familiarity with AI security attack surfaces including prompt injection, data exfiltration, privilege escalation in agents.

Responsibilities

• Lead security assessments of emerging technology (AI tooling/agentic platforms) including architecture reviews, code reviews and penetration tests.
• Provide guidance on Salesforce security requirements and potential feature enhancements.
• Threat model attacker methods and develop mitigation techniques balancing security and functionality.
• Develop automated processes to identify and solve problems at scale.
• Collaborate with engineering teams to drive secure development lifecycle practices.
• Define and develop security standards and guidelines with business partners.
• Research new technologies and threats for strategic planning.

Skills

Security assessments

Threat modeling

AI security

Communication skills

Development background

Education

Related technical degree

Job description

Salesforce is hiring Senior and Lead Security Engineers for the Secure AI team to help assess and maintain the security of AI tooling. You will partner with stakeholders to ensure security requirements are met at scale, identify emerging threats, and balance security with business agility.

Strong communication and collaboration across technical and non-technical peers are essential. The role emphasizes developing processes, standards, and research to advance secure AI deployment within