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Ai Security Jobs in Oregon (NOW HIRING)

Ability to obtain and maintain a Public Trust LTS is seeking a highly skilled Agentic AI Security Engineer to ensure our AI systems are secure, trustworthy, resilient, and governed responsibly. You ...

Security / AI Cloud Engineer

OR · On-site +1

$110K - $130K/yr

You will configure and manage security controls across AI-enabled environments, including data loss prevention policies, abuse alerting, and misconfiguration remediation. This is a greenfield ...

Secure AI & ML integrations: Establish and enforce security guardrails for AI pipelines and LLM deployments, protecting against AI-specific threats (e.g., prompt injection, data poisoning, supply ...

Application Security Engineer

OR · On-site +1

$58.75 - $78.50/hr

The kind of person who is excited by emerging technology trends, especially AI security risks and automated workflows. * Serious about your work, but not about yourself. Your day to day is.

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... You will partner closely with Product Management and Security Research to shape product strategy ...

A core part of this role is using AI and automation as force multipliers, building security tooling, guardrails, and review processes that scale to match the velocity of AI-assisted development ...

Senior Product Security Engineer II

OR · On-site +1

$114K - $156K/yr

Experience in mobile app penetration testing, AI security testing or cloud penetration testing * Experience with threat modeling, security assessments, product security concepts, and security ...

DNI is seeking an AI Developer/Engineer to support an Artificial Intelligent Support Services ... Follow applicable security, privacy, accessibility, compliance, and data-governance requirements.

Senior AI Identity Platform Engineer

OR · On-site +1

$104K - $143K/yr

Collaborate with enterprise security teams to align AI identity with organizational security standards. Secure Agent & Tool Access * Design secure frameworks governing how AI agents discover ...

AI Red Team Lead Engineer

Gresham, OR

$108K - $143K/yr

The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise attack ...

Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security Copilot). . Skills and Experience 4+ years of relevant experience Proven experience delivering ...

Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security Copilot). . Qualifications 4+ years of relevant experience Proven experience delivering security or ...

Identify and address emerging threats, including AI security risks * Mentor and guide a strong team, setting a high bar for technical rigor and impact What will you NOT do? * You will NOT worry about ...

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and information security: designing guardrails for AI-powered products, building automated security tooling ...

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Showing results 1-20

Ai Security information

See Oregon salary details

$29.6K

$71.6K

$171.3K

How much do ai security jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai security in Oregon is $71,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What is an AI Security?

An AI Security job focuses on protecting AI systems from threats, vulnerabilities, and adversarial attacks. Professionals in this role develop security measures to safeguard machine learning models, data, and infrastructure. They work to prevent data poisoning, model evasion, and unauthorized access while ensuring compliance with security standards. AI Security experts collaborate with cybersecurity teams to strengthen AI-driven applications and mitigate risks. Their work is essential for maintaining the integrity and trustworthiness of AI systems.

What are common challenges faced by AI Security professionals in their daily work?

AI Security professionals often encounter the challenge of staying ahead of rapidly evolving cyber threats that specifically target machine learning models and data pipelines. They must assess and mitigate vulnerabilities unique to AI systems, such as adversarial attacks or data poisoning, in addition to traditional cybersecurity risks. Collaboration with data scientists, developers, and IT teams is frequent to design secure systems from the ground up. Adapting quickly to emerging technologies and threat landscapes is a normal part of the work, making continuous learning and professional development essential in this field.

What are the key skills and qualifications needed to thrive in the AI Security position, and why are they important?

To thrive as an AI Security professional, you need a strong background in cybersecurity, machine learning, and programming—often supported by a degree in computer science or a related field. Experience with tools like SIEM platforms, threat intelligence systems, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving, and excellent communication skills help you identify vulnerabilities and collaborate with cross-functional teams. These skills are crucial for protecting AI systems from evolving threats and ensuring the security and integrity of sensitive data.

How to get a job in AI security?

To pursue a career in AI security, candidates should have a strong background in cybersecurity, machine learning, or computer science, often demonstrated through relevant degrees or certifications such as CISSP or Certified Ethical Hacker. Gaining experience with AI tools, programming languages like Python, and understanding of threat detection are essential. Building a portfolio of projects and staying updated on AI security trends can improve job prospects.

Is AI security a good career?

AI security is a growing field focused on protecting artificial intelligence systems from threats and vulnerabilities. It requires skills in cybersecurity, machine learning, and programming, and offers opportunities in industries such as technology, finance, and government. The demand for professionals in this area is increasing as AI adoption expands, making it a promising career choice for those with relevant expertise.

What are AI security jobs?

AI security jobs involve protecting artificial intelligence systems from threats such as hacking, data breaches, and malicious attacks. These roles often require knowledge of cybersecurity, machine learning, and programming, and may include tasks like vulnerability assessment, threat detection, and implementing security protocols for AI applications.

What job categories do people searching Ai Security jobs in Oregon look for?

The top searched job categories for Ai Security jobs in Oregon are:

Infographic showing various Ai Security job openings in Oregon as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $71,552 per year, or $34.4 per hour.

Agentic AI Security Engineer

LTS

OR • On-site, Remote

Full-time

Posted 26 days ago


Job description

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a highly skilled Agentic AI Security Engineer to ensure our AI systems are secure, trustworthy, resilient, and governed responsibly. You'll design safeguards that protect AI agents, retrieval pipelines, prompts, tools, memory, and model interactions from misuse while ensuring every AI response remains explainable, auditable, and aligned with enterprise security and compliance requirements. This role focuses on securing AI systems, not simply securing infrastructure.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today.

Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide.

The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

You'll work alongside AI architects, software engineers, platform engineers, cybersecurity engineers, and product leaders to embed AI security into every stage of development from experimentation through production deployment. We're building an AI platform where security, transparency, and trust are foundational, not afterthoughts.

What You'll Do:

Secure Agentic AI Systems

  • Design and implement security controls for autonomous and multi-agent AI systems.
  • Secure agent orchestration, tool execution, memory, and external integrations.
  • Identify and mitigate emerging AI-specific attack vectors and vulnerabilities.

Protect AI Models and Knowledge Systems

  • Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise knowledge repositories.
  • Design controls that prevent unauthorized knowledge access, data leakage, and information exposure.
  • Implement secure handling of sensitive enterprise and healthcare data throughout AI workflows.

AI Threat Modeling

  • Perform threat modeling for AI applications, agent architectures, prompts, APIs, and retrieval systems.
  • Assess risks associated with prompt injection, jailbreak attempts, indirect prompt attacks, tool misuse, hallucinations, data poisoning, model abuse, and adversarial inputs.
  • Develop mitigation strategies that reduce AI-specific security risks while maintaining usability.

Responsible AI & Governance

  • Build guardrails that improve trustworthy AI behavior.
  • Design policy enforcement, human-in-the-loop approval workflows, content filtering, and AI governance mechanisms.
  • Help define organizational standards for responsible AI development and deployment.

AI Observability & Monitoring

  • Design monitoring capabilities that detect abnormal agent behavior, misuse, prompt manipulation, and anomalous model interactions.
  • Implement logging, traceability, and audit capabilities supporting explainability and regulatory compliance.
  • Build mechanisms for continuous AI risk assessment and operational visibility.

Secure AI Development

  • Partner with software engineers to integrate AI security into development workflows.
  • Conduct security reviews of AI features before production deployment.
  • Promote secure AI engineering practices across the product organization.

What We're Looking For:

  • Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Software Engineering, Information Security, or a related technical discipline (or equivalent professional experience).
  • 7+ years of software engineering, cybersecurity engineering, AI engineering, or application security experience.
  • Experience designing secure cloud-native or distributed software systems.
  • Experience with Large Language Models (LLMs), AI applications, or Agentic AI platforms.
  • Experience securing APIs, microservices, and enterprise applications.
  • Knowledge of OWASP Top 10 and secure software development practices.
  • Understanding of AI-specific security risks including:
    • Prompt injection
    • Jailbreaking
    • Data poisoning
    • Model abuse
    • Adversarial inputs
    • Hallucination mitigation
    • Sensitive data leakage
  • Experience with cloud security across AWS, Azure, or Google Cloud.
  • Strong programming experience in Python or TypeScript.
  • Excellent communication and collaboration skills.
  • A mindset of both a security engineer and a software engineer.
  • Experience with solving problems that don't yet have established playbooks.
  • Ability to stay current with emerging AI threats and defensive techniques.
  • Experience with ownership of complex technical challenges.
  • Ability to collaborate effectively across engineering disciplines.
  • Capability to influence how secure AI systems are built in highly regulated environments.
  • Strong ability to balance innovation with responsible engineering.

Nice to Have:

  • Experience securing Retrieval-Augmented Generation (RAG) systems.
  • Experience with AI guardrails and policy engines.
  • Familiarity with frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or LlamaIndex.
  • Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
  • Experience implementing AI observability, evaluation, or monitoring solutions.
  • Experience with NIST AI Risk Management Framework (AI RMF), Responsible AI practices, or AI governance frameworks.
  • Experience supporting Federal Government or healthcare environments.
  • Familiarity with Zero Trust Architecture and secure DevSecOps practices.
  • Professional certifications such as CISSP, CCSP, Security+, GIAC, or cloud security certifications are a plus.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!