Job Description:

Required Qualifications

• 5+ years of experience in security engineering, application security, AI/ML engineering, or security architecture, with hands-on experience securing AI/ML or LLM-based systems.
• Demonstrated ability to independently lead security reviews for complex AI systems and drive mitigation plans across engineering teams with limited oversight.
• Practical experience assessing AI-specific risks: prompt injection, insecure output handling, sensitive data exposure, excessive agency, model and data supply chain weaknesses, and unsafe retrieval or memory patterns.
• Advanced understanding of AI system behavior, including model vulnerabilities, evaluation results, and security-relevant failure modes.
• Proficiency in Python (or equivalent) for security automation, evaluation scripts, test harnesses, and evidence-collection workflows.
• Working knowledge of modern AI stacks — model APIs, orchestration frameworks, vector databases, retrieval pipelines, and agentic workflows — and at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with AI security and governance frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001); strong written and verbal communication skills for both technical and non-technical audiences.

Preferred Qualifications

• Experience leading AI red team engagements, test-and-evaluation activities, secure AI design reviews, or product security programs across multiple teams.
• Experience deploying, integrating, or securing AI/ML systems in production or customer-facing environments outside of a lab setting.
• Hands-on experience with AI security tooling, model scanning, or custom evaluation harnesses.
• Background in cloud security, IAM, application security, data protection, logging/monitoring, incident response, or security operations for production systems.
• Experience coordinating technical work across product, platform, and security stakeholders.
• External contributions, presentations, or publications in AI security, adversarial AI, AI assurance, or secure AI engineering.
• Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.

COMMENTS:

The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.

Vertex Values: Together We Win

We're building a team of people who are passionate about making an impact for our customers and committed to how that impact is achieved. Our values define the behaviors, mindset, and culture that make Vertex a great place to grow and do meaningful work.

Play to Win or We Don't Play — If we choose to do something, we're choosing to do it because we plan to win. That mindset raises our bar on product quality, customer outcomes, and how we show up for one another.

Work As a Team, Putting the Customer At the Core — Our customers are our true north. Whatever your role, ask: how will this help a customer succeed today? We earn trust through outcomes, not promises.

Achieve Excellence With Integrity, Speed, and Agility — The market isn't slowing down. We'll move faster, adapt quickly, and never compromise on doing things the right way — for teammates, customers, and partners.

Innovate Boldly With a Growth Mindset — Progress demands smart risk. We'll try new approaches, learn fast, and keep pushing the boundaries — especially where AI can remove friction and unlock value.

Communicate with Care, Candor and Transparency — Honest, constructive conversations make us better. Let's speak plainly about what's working and what isn't and help each other improve.

Pay Transparency Statement:

Annual Salary Range: $105,000.00 - $136,500.00

Pay Basis: Monthly

The expected base salary range for this role varies by location and is expressed in local currency. The posted range reflects the anticipated hiring range for successful candidates at the time of hire, based on relevant job‑related skills, experience, geographic location, and business needs. Base pay offered to new hires may vary within the posted range depending on individual qualifications and market considerations.

The posted salary range reflects compensation at the time of hire. Employees may experience additional compensation growth over time through performance‑based increases, expanded responsibilities, role progression, or internal career opportunities, in accordance with company policies and local practices.

In addition to base pay, this role may be eligible for other elements of Vertex’s total compensation package, which may include participation in the Vertex Bonus Plan (VOB), a role‑specific sales commission or bonus, and/or equity grants, where applicable.

Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.

*In all cases, compensation will comply with applicable local pay transparency and minimum wage requirements.

Originally posted on Himalayas

Job Description:

Required Qualifications

• 5+ years of experience in security engineering, application security, AI/ML engineering, or security architecture, with hands-on experience securing AI/ML or LLM-based systems.
• Demonstrated ability to independently lead security reviews for complex AI systems and drive mitigation plans across engineering teams with limited oversight.
• Practical experience assessing AI-specific risks: prompt injection, insecure output handling, sensitive data exposure, excessive agency, model and data supply chain weaknesses, and unsafe retrieval or memory patterns.
• Advanced understanding of AI system behavior, including model vulnerabilities, evaluation results, and security-relevant failure modes.
• Proficiency in Python (or equivalent) for security automation, evaluation scripts, test harnesses, and evidence-collection workflows.
• Working knowledge of modern AI stacks — model APIs, orchestration frameworks, vector databases, retrieval pipelines, and agentic workflows — and at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with AI security and governance frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001); strong written and verbal communication skills for both technical and non-technical audiences.

Preferred Qualifications

• Experience leading AI red team engagements, test-and-evaluation activities, secure AI design reviews, or product security programs across multiple teams.
• Experience deploying, integrating, or securing AI/ML systems in production or customer-facing environments outside of a lab setting.
• Hands-on experience with AI security tooling, model scanning, or custom evaluation harnesses.
• Background in cloud security, IAM, application security, data protection, logging/monitoring, incident response, or security operations for production systems.
• Experience coordinating technical work across product, platform, and security stakeholders.
• External contributions, presentations, or publications in AI security, adversarial AI, AI assurance, or secure AI engineering.
• Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.

COMMENTS:

The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.

Vertex Values: Together We Win

We're building a team of people who are passionate about making an impact for our customers and committed to how that impact is achieved. Our values define the behaviors, mindset, and culture that make Vertex a great place to grow and do meaningful work.

Play to Win or We Don't Play — If we choose to do something, we're choosing to do it because we plan to win. That mindset raises our bar on product quality, customer outcomes, and how we show up for one another.

Work As a Team, Putting the Customer At the Core — Our customers are our true north. Whatever your role, ask: how will this help a customer succeed today? We earn trust through outcomes, not promises.

Achieve Excellence With Integrity, Speed, and Agility — The market isn't slowing down. We'll move faster, adapt quickly, and never compromise on doing things the right way — for teammates, customers, and partners.

Innovate Boldly With a Growth Mindset — Progress demands smart risk. We'll try new approaches, learn fast, and keep pushing the boundaries — especially where AI can remove friction and unlock value.

Communicate with Care, Candor and Transparency — Honest, constructive conversations make us better. Let's speak plainly about what's working and what isn't and help each other improve.

Pay Transparency Statement:

Annual Salary Range: $105,000.00 - $136,500.00

Pay Basis: Monthly

The expected base salary range for this role varies by location and is expressed in local currency. The posted range reflects the anticipated hiring range for successful candidates at the time of hire, based on relevant job‑related skills, experience, geographic location, and business needs. Base pay offered to new hires may vary within the posted range depending on individual qualifications and market considerations.

The posted salary range reflects compensation at the time of hire. Employees may experience additional compensation growth over time through performance‑based increases, expanded responsibilities, role progression, or internal career opportunities, in accordance with company policies and local practices.

In addition to base pay, this role may be eligible for other elements of Vertex’s total compensation package, which may include participation in the Vertex Bonus Plan (VOB), a role‑specific sales commission or bonus, and/or equity grants, where applicable.

Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.

*In all cases, compensation will comply with applicable local pay transparency and minimum wage requirements.

Originally posted on Himalayas