AI Security Engineer

Trimble Inc.

. Assess and secure AI agents, tool integrations, and agentic workflows while evaluating permission scoping, action-chain risk, and non-human identity frameworks .

Posted 9/18/2026full-timeWestminster • Colorado • United StatesMid-LevelSenior💰 $115,600 - $158,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI security engineering, focusing on adversarial attack scenarios, security guardrails, and compliance with international AI governance frameworks. Proficient in cloud security architecture and experienced in training cross-functional teams on AI-specific threats and mitigations.

Highest-signal resume keywords

Security Engineering ExperiencePython ProficiencyAI Frameworks (PyTorch, TensorFlow)Cloud Security Architecture (AWS, Azure, GCP)Relevant Certifications (OSCP, OSCE, AWS Security Specialty)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Operational AI Attack ClassesAdversarial Attack ScenariosAI Red-TeamingOWASP Top 10 for LLMsNIST AI RMF StandardsContainerized Environment SecurityAI Security Standards DevelopmentModel Risk AssessmentsData Leakage MitigationOutput Filtering Policies

Soft Skills

Cross-Functional CollaborationTraining and Mentoring

Tools & Technologies

MLOps ToolingAgent Protocols (MCP)Open-Source AI Security ToolsCommercial AI Security PlatformsShadow AI Discovery Tools

Certifications & Qualifications

OSCPOSCEAWS Security SpecialtyGIAC Cloud Security Tracks

Industry Keywords

AI Governance FrameworksISO/IEC 42001EU AI ActMITRE ATLAS TacticsAI Ops Pipelines

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Assess and secure AI agents, tool integrations, and agentic workflows while evaluating permission scoping, action-chain risk, and non-human identity frameworks
Design and execute advanced adversarial attack scenarios including prompt injection, jailbreaking, insecure output handling, and data leakage across retrieval pipelines
Partner with AI engineers to establish automated security guardrails, vector store access controls, and output filtering policies across model lifecycles
Audit AI Ops pipelines, vet third-party AI supply chain components, and lead model risk assessments prior to production deployment
Develop enterprise AI security standards
Train cross-functional AppSec, SecOps, and GRC teams on AI-specific attack classes and threat mitigations

Requirements

What you’ll need

5+ years of security engineering or application security experience with demonstrated technical depth in operational AI attack classes
Hands-on proficiency with Python, MLOps tooling, AI frameworks (PyTorch, TensorFlow), and agent protocols (MCP)
Practical experience executing AI red-teaming using open-source tools such as PyRIT, Garak, or Promptfoo
Solid background in cloud security architecture across AWS, Azure, or GCP and containerized environment security
Strong working knowledge of OWASP Top 10 for LLMs, OWASP agentic threat guidance, and NIST AI RMF standards
Experience with commercial AI security platforms, shadow AI discovery tools, or applied MITRE ATLAS tactics
Awareness of international AI governance frameworks, including ISO/IEC 42001 and the EU AI Act
Contributions to open-source AI security tools, published security research, CVEs, or industry conference speaking engagements
Relevant certifications such as OSCP, OSCE, AWS Security Specialty, or GIAC cloud security tracks

Benefits

Comp & perks

Bonus eligible
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability benefits
Time off plans
Retirement plans
Tax savings plans for health, dependent care, and commuter expenses
Paid Parental Leave
Employee Stock Purchase Plan
Reasonable accommodations for disabilities or sincerely held religious beliefs