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Owasp Llm Security Engineer Jobs

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Today

Sr. Staff AI Security Engineer

Bill.com Draper, UT 🇺🇸 Remote

Draper, UT

Today

$165k - $207k/yr Full time Ai Enabled Security Ai Security Data Security

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Job Description

Bill.com is seeking a Sr. Staff AI Security Engineer to lead the secure deployment and ongoing operation of AI and ML systems. This role emphasizes protecting LLMs and orchestration layers through secure gateway design, structured red-teaming, and a risk roadmap grounded in the OWASP LLM Top 10.

Location

Draper, UT (remote)

Compensation

USD 165,200 - 206,600 per year (Draper, UT)
USD 194,300 - 243,000 per year (San Jose pay range)

Role Summary

This position focuses on securing LLMs and the orchestration layer around them. The work includes implementing secure gateways, leading adversarial testing, and driving an OWASP LLM Top 10–based security roadmap.

Responsibilities

Design, build, and operate secure AI gateways and policy orchestration layers across multiple AI models and service providers
Configure end point settings for AI tools in collaboration with IT end point management solutions
Stand up and lead a formal AI red-teaming practice addressing prompt injection, jailbreaking, model extraction, and emerging attack vectors
Identify and mitigate AI-specific threats, including input manipulation, supply chain risks (model weights, datasets, third-party AI libraries), data privacy (training data leakage and PII disclosure), and model integrity (poisoning and unauthorized fine-tuning)
Automate security checks and guardrails to support faster development cycles without weakening the security posture
Apply and operationalize the OWASP LLM Top 10 framework to categorize and mitigate risk
Own the AI security roadmap and advise senior leadership on AI risks and safe adoption
Partner with platform teams to strengthen a collaborative security culture
Mentor fellow engineers on AI security best practices
Document and report vulnerabilities with clear remediation guidance and technical direction

Required Qualifications

A proven track record building and scaling security systems in high-growth environments
High proficiency in Python or Go to build, automate, and scale security tooling
Deep understanding of LLM-specific attack vectors, including prompt injection and jailbreaking
Deep understanding and applied experience with the OWASP LLM Top 10 framework
Experience designing secure API gateways, orchestration layers, and scalable security infrastructure using infrastructure as code
Experience standing up red-teaming or adversarial testing programs
Strong grasp of AI/ML fundamentals, including model supply chain and data privacy risks
Builder mentality and interest in enabling development through secure architecture rather than blocking it
Ability to influence senior leadership and mentor engineers across the organization
Background in Computer Science, Cybersecurity, or a related technical field

Technologies

Python
Go
OWASP LLM Top 10
Infrastructure as code
AI/ML
LLMs

Benefits

100% paid employee health, dental, and vision plans (HMO, PPO, or HDHP)
HSA & FSA accounts
Life Insurance, Long & Short-term disability coverage
Employee Assistance Program (EAP)
11+ Observed holidays and wellness days and flexible time off
Employee Stock Purchase Program with employee discounts
Wellness & Fitness initiatives
Employee recognition and referral programs
Medical, dental, vision, life and disability insurance
401(k) retirement plan
Flexible spending & health savings account
Paid holidays
Paid time off
Other company benefits

Visa Sponsorship

Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

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2d ago

AI Cybersecurity Engineer

Agilent Technologies Inc Colorado Springs, CO

Colorado Springs, CO

2d ago

$139k - $218k/yr Full time Ai Security Application Security Cloud Ai Security

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Job Description

Agilent Technologies, Inc is seeking an AI Cybersecurity Engineer to help enable the secure adoption of AI across the organization. In this onsite role in Colorado Springs, CO, you will partner with business, IT, product teams, and ISRM to design, develop, deploy, and operate AI solutions with appropriate security controls and governance.

This position focuses on assessing AI security and compliance risk, strengthening long-term strategy, and collaborating across enterprise architecture, cloud, engineering, and security specialties to ensure AI capabilities are protected across the lifecycle.

What you will do

Collaborate with IT, business functions, and product teams to support the secure development and deployment of AI solutions.
Assist with security assessments and risk reviews for commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities.
Support short-term, mid-term, and long-term AI-related initiatives and projects across Agilent.
Work with enterprise architects, cloud teams, engineering teams, and security specialists to integrate security controls into AI solutions.
Participate in threat modeling, architecture reviews, design discussions, and security assessments for AI-enabled systems.
Evaluate emerging AI technologies, security capabilities, industry trends, and evolving threat landscapes.
Help define and mature Agilent’s long-term AI security strategy, governance framework, and security roadmap.
Partner with Legal, Privacy, Compliance, Risk Management, Product Security, and Enterprise Security to align AI solutions with applicable requirements and standards.
Develop security recommendations covering AI data protection, model security, identity management, access controls, model governance, and third-party risk.
Promote secure AI development practices through awareness, education, and adoption activities across the organization.
Contribute to executive presentations, strategy discussions, standards development, and governance forums related to AI security.

Required qualifications

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.
8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or a related discipline.
3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.
Strong understanding of cybersecurity principles.
Experience evaluating security risks tied to commercial SaaS platforms, cloud services, and emerging technologies.
Knowledge of cybersecurity frameworks, security controls, and industry best practices.
Strong communication and stakeholder management skills, with the ability to collaborate across technical and non-technical audiences.
Ability to translate complex cybersecurity and AI-related risks into practical business recommendations.

Technologies

Azure AI Services
OpenAI
Microsoft Copilot
AWS AI services
Google Vertex AI
NIST AI Risk Management Framework (AI RMF)
NIST Cybersecurity Framework (CSF)
ISO 27001
OWASP Top 10 for LLM Applications
CISSP
CCSP
CISM
GIAC

Preferred qualifications

Experience securing generative AI platforms, machine learning environments, AI agents, copilots, and AI-enabled applications.
Experience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes.
Familiarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply chain security.
Experience working with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms.
Knowledge of NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), ISO 27001, OWASP Top 10 for LLM Applications, and related standards.
Experience in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing.
Professional certifications such as CISSP, CCSP, CISM, GIAC, Microsoft Security certifications, AI-related certifications, or equivalent.

Compensation and benefits

Salary range: USD 139,440 - 217,875 per year
Benefits: bonus, stock, benefits

Additional information

Work schedule: full time, day shift
Travel required: 10% of the time
Job function: IT
Duration: no end date
Application deadline: accepted until at least September 28, 2026 or until the job is no longer posted
Pay range details: pay ranges are determined by role, level, and location; full-time equivalent range is $139,440.00 - $217,875.00/yr, plus eligibility for bonus, stock and benefits

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