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Ai Security Engineer 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 ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Security / AI Cloud Engineer

OR ยท On-site +1

$110K - $130K/yr

... a Security / AI Cloud Engineer to help launch it. In this role, you will work at the intersection of cloud security and artificial intelligence, helping our clients adopt AI tools and platforms ...

Security / AI Cloud Engineer

OR ยท On-site +1

$110K - $130K/yr

Summary Cyber74, a New Charter Technologies operating company, is building a new practice focused on AI security - and we are looking for a Security / AI Cloud Engineer to help launch it. In this ...

Security Engineer

OR ยท On-site +1

Engineer custom detection logic, integrate threat intelligence, automate with SOAR, and design Agentic AI security operations playbooks * Contributed or lead incident response efforts, including ...

Application Security Engineer

OR ยท On-site +1

$58.75 - $78.50/hr

The kind of person who is excited by emerging technology trends, especially AI security risks and ... Assisting developers in reviewing and interpreting alerts from static analysis and software ...

Translate research into usable outcomes for engineering and security teams, including proof-of ... Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks ...

Senior Product Security Engineer II

OR ยท On-site +1

$114K - $156K/yr

Experience in mobile app penetration testing, AI security testing or cloud penetration testing ... Bachelor's degree in Computer Science, Engineering, Math, or related work experience * Bug bounty ...

Security Engineer

OR ยท On-site +1

$100K - $135K/yr

Use AI tooling thoughtfully to reduce manual effort in areas such as log review, documentation ... Security Engineer, Information Security Engineer, or similar role, ideally with 2 of those 3+ years ...

Security Engineer

OR ยท On-site +1

Identity and Access Management (IAM), AI, and Cloud. This is an earlier-career role built for ... Learn and apply security best practices under the guidance of senior engineers, with room to ...

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 ...

Security Engineer

OR ยท On-site +1

Our triage pipeline is heavily AI-enriched, so analysts spend little of their day working alerts ... It is closer to a security engineering role than to a conventional SOC analyst role, and we expect ...

Identify AI security considerations (data handling, access control, prompt injection, model governance) and build these into deployment recommendations * Collaborate cross-functionally with engineers ...

Principal Platform Security Engineer

OR ยท On-site +1

$142K/yr

Partner with engineering teams to improve the security of AI-assisted developer workflows and GenAI-enabled systems, including agentic tooling, coding assistants, and internal AI integrations that ...

Senior Application Security Engineer

OR ยท On-site +1

$58.75 - $78.50/hr

Assess the security of AI-enabled products and developer workflows, including GenAI integrations, agentic systems, model inputs and outputs, sensitive-data handling, and access boundaries. * Provide ...

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Showing results 1-20

Ai Security Engineer information

See Oregon salary details

$65K

$161.5K

$217.3K

How much do ai security engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai security engineer in Oregon is $161,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $167,600.00 per year, depending on experience, location, and employer.

What is the difference between Ai Security Engineer vs Data Security Analyst?

AspectAi Security EngineerData Security Analyst
Required CredentialsBachelor's in CS, Cybersecurity, or related; certifications like CISSP, CEHBachelor's in IT, Cybersecurity, or related; certifications like CISSP, CISA
Work EnvironmentDeveloping AI models for security, integrating AI tools, working with cybersecurity teamsMonitoring data security, analyzing security breaches, implementing data protection measures
Employer & Industry UsageTech firms, cybersecurity companies, organizations deploying AI security solutionsFinancial institutions, healthcare, government agencies, any organization handling sensitive data

The main difference is that Ai Security Engineers focus on developing and implementing AI-based security solutions, while Data Security Analysts primarily monitor and analyze data security threats and breaches. Both roles require cybersecurity certifications and work in security-focused environments, but their daily tasks and focus areas differ significantly.

How much do AI security engineers make?

AI security engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in cybersecurity tools and machine learning can earn higher salaries, often exceeding $180,000 per year.

What do AI security engineers do?

AI security engineers develop and implement security measures to protect artificial intelligence systems from threats and vulnerabilities. They analyze potential risks, design secure algorithms, and often work with tools like intrusion detection systems and encryption to ensure the integrity and confidentiality of AI applications.

What cities in Oregon are hiring for Ai Security Engineer jobs?

Cities in Oregon with the most Ai Security Engineer job openings:

Infographic showing various Ai Security Engineer 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 $161,525 per year, or $77.7 per hour.

Agentic AI Security Engineer

OR โ€ข On-site, Remote

Full-time

Re-posted 13 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!