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Patent Agent Computer Science Jobs in Oregon (NOW HIRING)

Secure agent orchestration, tool execution, memory, and external integrations. * Identify and ... What We're Looking For: * Bachelor's degree in Computer Science, Cybersecurity, Artificial ...

ROW/Land Agent

Portland, OR · On-site

$78K - $84K/yr

TRC has long set the bar for clients who require more than just engineering, combining science with ... of computer monitor and other manual, task-related functions. While performing the duties of this ...

Senior AI Platforms Engineer

OR · On-site +1

$104K - $143K/yr

Bachelor degree in Computer Science, Software Engineering, Information Systems, Data Science, or ... Hands-on experience designing and building agent orchestration and LLM workflows (custom or ...

Familiarity with AI-powered customer experience technologies, automation, routing, agent assist, or conversational AI solutions. * Bachelor's degree in Business, Computer Science, Engineering, or a ...

Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of ... Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI ...

AI & Automation Engineer

Portland, OR · On-site

$90K - $120K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of ... Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI ...

Group Product Manager, AI and Data

OR · On-site +1

$171K - $190K/yr

Bachelor's Degree in Computer Science, Engineering, Data Science, Statistics, Economics, or a ... agent-driven value. * Experience influencing pricing, packaging, and product positioning for ...

... computer science or related technical field (MS in Computer Science or a related degree is ... Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent ...

... computer science or related technical field (MS in Computer Science or a related degree is ... Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent ...

... computer science or related technical field (MS in Computer Science or a related degree is ... Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent ...

Senior AI Identity Platform Engineer

OR · On-site +1

$104K - $143K/yr

Secure Agent & Tool Access * Design secure frameworks governing how AI agents discover ... What We're Looking For: * Bachelor's degree in Computer Science, Software Engineering ...

About the role We are looking for a Lead Engineer, AI Agent Voice Experience to help build the next ... Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or a related field;

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP ... Required : • Bachelor's degree in computer science, engineering, data science, mathematics, or a ...

Showing results 41-60

Patent Agent Computer Science information

What is a patent agent in computer science?

Patent Agents in Computer Science are professionals licensed by the United States Patent and Trademark Office (USPTO) to help inventors and organizations protect their computer-related inventions. They specialize in drafting, filing, and prosecuting patent applications, particularly for innovations in software, algorithms, and hardware. While they are not attorneys and cannot represent clients in court, they possess a strong background in computer science and patent law, making them essential for navigating the complex process of securing patents for technological inventions.

What are the key skills and qualifications needed to thrive as a patent agent in computer science?

To thrive as a Patent Agent in Computer Science, you need a strong background in computer science or engineering, familiarity with intellectual property law, and registration with the USPTO. Expertise in patent databases, patent drafting software, and legal research tools is commonly required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting technical concepts and interacting with inventors and attorneys. These skills ensure accurate patent preparation, protection of innovations, and successful navigation of complex legal and technical requirements.

What are some common challenges faced by patent agents specializing in computer science, and how can they be overcome?

Patent Agents in Computer Science often encounter the challenge of staying up-to-date with rapidly evolving technologies and interpreting complex technical concepts for patent applications. Navigating the differences between software patent eligibility in various jurisdictions can also be demanding. Effective collaboration with inventors and legal teams is essential to ensure accurate and comprehensive patent filings. Staying engaged with continuing education and regularly reviewing new case law helps Patent Agents maintain expertise and manage these challenges successfully.

What is the difference between Patent Agent Computer Science vs Patent Attorney Computer Science?

AspectPatent Agent Computer SciencePatent Attorney Computer Science
CredentialsPatent Bar, technical degree in CSPatent Bar, law degree, and admission to bar
Work EnvironmentPatent offices, law firms, R&D departmentsLaw firms, corporate legal departments, patent offices
Industry UsagePreparing and prosecuting patent applications in CSLegal representation, patent litigation, advising clients
Common Search IntentDifferences, roles, qualificationsLegal scope, responsibilities, career path

Patent Agent Computer Science focuses on preparing and prosecuting patent applications in the tech field, requiring a technical degree and passing the Patent Bar. Patent Attorney Computer Science involves legal representation, including patent litigation and advising clients, requiring a law degree and bar admission. Both roles work closely in the patent process but differ mainly in legal authority and scope.

Is there a high demand for patent agents?

Patent agents, especially those with a background in computer science, are in high demand due to the increasing number of technology patents filed worldwide. Their expertise in intellectual property law and technical knowledge makes them valuable in patent prosecution and litigation, with job growth expected to remain strong as innovation continues to expand across industries.

What are popular job titles related to Patent Agent Computer Science jobs in Oregon?

For Patent Agent Computer Science jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Patent Agent Computer Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Agentic AI Security Engineer

LTS

OR • On-site, Remote

Full-time

Posted 19 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!