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Ai Agent Engineer Jobs in Oregon (NOW HIRING)

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop ... AI, or software engineering, with 1+ year hands-on in Workato. * Proven expertise with Enterprise ...

Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta's agent builder and beta internal tools * Improve our playbooks for agent ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and ...

New

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and ...

Senior Software Engineer

OR · On-site +1

$140K - $176K/yr

... and AI-agent economies. This isn't an internal infrastructure team or a traditional engineering department; it is an agile builder pod that shifts code, breaks assumptions, and runs fast, low ...

Senior AI Identity Platform Engineer

OR · On-site +1

$104K - $143K/yr

Secure Agent & Tool Access * Design secure frameworks governing how AI agents discover ... Platform Engineering * Develop reusable identity services, SDKs, APIs, and libraries supporting ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial ... multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP ...

Senior Software Engineer, Voice AI

OR · On-site +1

$122K - $161K/yr

This includes multi-agent orchestration, real-time WebSocket audio pipelines, telephony integration ... software engineering experience, with at least 2 years building production voice AI or ...

OR

$193K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies * Experience with network telemetry platforms ...

Senior AI Engineer, Real-World Data

OR · On-site +1

$122K - $161K/yr

Natera is seeking a Senior Agentic AI Engineer to design, build, and productionize intelligent agent workflows that improve the quality, reliability, and efficiency of our Real-World Data (RWD ...

Forward Deployed AI Engineer

OR · On-site +1

$103K - $139K/yr

Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments. Work ... Solution Engineering & Prototyping Build demos, prototypes, and proof-of-concept implementations to ...

Senior AI Platforms Engineer

OR · On-site +1

$104K - $143K/yr

Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration ... Familiarity with AI governance, model lifecycle management, prompt engineering, and responsible AI ...

Director of Biostatistics

Bend, OR · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Showing results 41-60

Ai Agent Engineer information

See Oregon salary details

$26

$56

$81

How much do ai agent engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai agent engineer in Oregon is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $65.82 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the most commonly searched types of Ai Agent Engineer jobs in Oregon?

The most popular types of Ai Agent Engineer jobs in Oregon are:

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

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

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

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

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

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

Infographic showing various Ai Agent Engineer 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 $117,942 per year, or $56.7 per hour.

Full-time

Re-posted 22 hours ago


Job description

Job Summary:
D.A. Davidson Companies is an independent, employee-owned company dedicated to delivering outstanding service to clients. They are seeking a Mid-Level AI and Automation Engineer to develop AI capabilities within a Microsoft-based environment, focusing on intelligent assistants and automated workflows to transform business processes in the financial services domain.
Responsibilities:
• Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making.
• Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
• Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
• Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
• DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
• Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants’ effectiveness.
• Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of experience in software development, automation engineering, or similar roles.
• Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation.
• Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
• Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions.
• Experience building or consuming RESTful APIs and working with data integration.
• Working knowledge of Azure cloud services and AI/ML frameworks.
• Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
• Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects.
• Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes.
• Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs.
• Excellent communication skills to work effectively with both technical and non-technical team members.
• Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
• Commitment to maintain client confidentiality and data security.
• Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information.
• Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives.
• Ability to maintain regular, predictable attendance.
Preferred:
• Experience with Microsoft 365 Copilot Studio – for example, having built or managed AI copilots/agents in a production setting.
• Knowledge of designing conversation flows, topics, tools, and using Copilot’s advanced features (custom actions, agent-to-agent workflows).
• Familiarity with large language models beyond basic API usage – e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A.
• Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more.
• Background in financial services or wealth management technology projects.
• Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
• Hands-on experience implementing security, compliance, and responsible AI practices in software.
• Familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
• Demonstrated initiative in previous roles – maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities.
• Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
• Lots of experience working in highly-iterative development processes.
• Somebody prepared to deal with the boring and the tough.
Company:
D.A. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.