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Agentic Ai Jobs in Oregon (NOW HIRING)

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 ...

Google Agentic AI Delivery Specialist

Beaverton, OR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Google Cloud Platform (GCP) Agentic AI Delivery Engineer, you are a new breed of technologist--a "product-minded engineer" who is as fluent in the language of code as you are in the language of ...

Senior Agentic AI Software Engineer

OR ยท On-site +1

$122K - $161K/yr

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 ...

Solution Architect, Agentic AI Delivery

OR ยท On-site +1

$120K - $140K/yr

Experience implementing solutions incorporating AI, ideally agentic AI in a production environment. * Working knowledge of the regulatory, security, and governance needs of financial institutions.

Senior Front-End Agentic AI Engineer

OR ยท On-site +1

$122K - $168K/yr

Ability to obtain and maintain a Public Trust LTS is seeking a Senior Front-End Agentic AI Engineer to own the experience layer of an AI platform built for one of the most consequential legacy ...

Technical Project Manager, Agentic AI Delivery

OR ยท On-site +1

$110K - $130K/yr

Experience implementing customer service automation, preferably solutions incorporating AI and ideally agentic AI. * Working knowledge of the regulatory, security, and governance needs of financial ...

Overview LMI is seeking a Full-Stack Developer with proficiency in Agentic AI to join the Chief Technology Office development team. This position requires an individual who thrives in dynamic ...

Account Executive, AI

OR ยท On-site +1

The Agentic AI portfolio includes automation solution such as Cognigy, agent augmentation, proactive engagement, knowledge and other Agentic AI solutions with high-impact transformation initiatives.

Senior Product Manager, AI

OR ยท On-site +1

$126K - $166K/yr

Overview Instacart's AI team is building B2B agentic AI products that help retailers and CPGs recover margin by tackling out-of-stock, shrink and waste, and fulfillment utilization. We aim to ...

Leverage AI and agentic AI to automate and scale campaign orchestration 5. AI & Agentic AI Leadership * Lead demand programs for AI and agentic AI solutions, translating complex capabilities into ...

We're seeking a Director of Advisory with a focus on AI Adoption & Change Management to drive enterprise-wide adoption of agentic AI, LLM-powered solutions, foundational data platforms, and modern ...

... agentic AI solutions. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the ...

VP, AI Strategy & Delivery

OR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Accelerate Pacvue Agent and Agentic AI * Accelerate Pacvue Agent as a core AI experience across the platform, directing the team, helping customers move from insight to action through trusted ...

  • Retirement

  • PTO

... AI. This post is for a position within the Experience unit at Genpact (Formerly Rightpoint ... The Agentic Workspace Solution Director is the strategic leader and senior subject matter expert ...

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Agentic Ai information

See Oregon salary details

$37

$69

$123

How much do agentic ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for agentic ai in Oregon is $69.54, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $105.72 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What are popular job titles related to Agentic Ai jobs in Oregon?

For Agentic Ai jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Agentic Ai jobs?

Cities in Oregon with the most Agentic Ai job openings:

Infographic showing various Agentic Ai job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $144,647 per year, or $69.5 per hour.

Agentic AI Security Engineer

LTS

OR โ€ข 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!