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Ai Automation Engineer Jobs in Oregon (NOW HIRING)

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our ...

... s engineer who thrives at the intersection of infrastructure automation and applied AI tooling ... Integrate AI coding assistants and agentic tools (Claude Code, Copilot, or similar) into ...

Test Automation Engineer

Hood River, OR · On-site

$130K - $180K/yr

We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an ... Overwatch is seeking a Test Automation Engineer to own and evolve how we validate edge-deployed ...

Test Automation Engineer

Hood River, OR · On-site

$48 - $63.50/hr

We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an ... About this Role: Overwatch is seeking aTest Automation Engineer to own and evolve how ...

We're looking for a Software Engineer to join our AI/Automation team and contribute to the design, development, and maintenance of Azure-hosted web portals, platforms, and intelligent automation ...

S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You'll ...

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Showing results 1-20

Ai Automation Engineer information

See Oregon salary details

$39.1K

$113.3K

$172.3K

How much do ai automation engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai automation engineer in Oregon is $113,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $130,600.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

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

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

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

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

Infographic showing various Ai Automation 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 $113,263 per year, or $54.5 per hour.

Full-time

Re-posted yesterday


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.