Loading...
Adversarial AI & Research Engineer
Salesforce
H1B ✓UnknownseniorPosted May 15, 2026
About the Role
Lead adversarial testing and red team assessments across AI ecosystems, innovate AI attack techniques, build and scale security tooling, and serve as a strategic partner to guide product development and contribute to AI security policies.
Requirements
Requires 6+ years hands-on experience testing AI/ML systems with deep understanding of LLM vulnerabilities, 1+ year in offensive security or adversarial AI testing, high Python proficiency, and proven experience leading complex technical projects.
Full Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
ProductJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Overview of the Role:
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing — establishing Salesforce as a leader in the AI security field.
Responsibilities:
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing — establishing Salesforce as a leader in the AI security field.
Responsibilities:
- Lead adversarial testing by designing, scoping, and executing red team assessments across our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited.
- Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art.
- Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics.
- Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard.
Required Qualifications:
- 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing, vulnerability research, etc.).
- 6+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities.
- High degree of Python proficiency for tool development, assessment automation, and data analysis.
- Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences.
Preferred Qualifications:
- Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions.
- Experience creating or managing large-scale datasets for security testing or machine learning training.
- Experience building automated testing frameworks or large-scale evaluation pipelines.
- Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.