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Ai Automation Engineer Jobs in Oregon (NOW HIRING)

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

This role focuses on delivering practical AI solutions that drive automation, improve decision ... The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

This role focuses on delivering practical AI solutions that drive automation, improve decision ... The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Develop intelligent automation solutions for test case generation, defect analysis, knowledge ...

Forward Deployed AI Engineer

OR · On-site +1

$103K - $139K/yr

Forward Deployed AI Engineer AI Foundry | NewRocket Location: Remote with travel (~25%) Reports to ... Build supporting components such as scripts, microservices, automation logic, and integration ...

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve problems using modern tools: * You are expected to take engineering problems from issue to solution ...

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve problems using modern tools: * You are expected to take engineering problems from issue to solution ...

Senior AI Platform Engineer

OR · On-site +1

$104K - $143K/yr

As a Senior AI Platform Engineer , you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You ...

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead others who use modern tools: * You are expected to lead others in taking engineering problems from ...

Showing results 41-60

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.

$109K - $150K/yr

Full-time

Re-posted 12 days ago


A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

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Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.

OverviewThe AI Engineer, Sr plays a key role in building and scaling applied artificial intelligence capabilities across the organization. This role focuses on delivering practical AI solutions that drive automation, improve decision making, and enable predictive insights across business functions such as supply chain, finance, operations, sales, and customer service.
The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models, forecasting solutions, and agentic AI workflows. This is a hands-on engineering role that partners closely with business and technology teams to turn real world problems into scalable AI solutions. The role emphasizes production ready systems, responsible AI use, and measurable business impact rather than academic research.

JOB DUTIES AND RESPONSIBILITIES:

  • Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business
  • Build and maintain machine learning models and AI services used in production environments
  • Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows
  • Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments
  • Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools
  • Implement data pipelines and feature engineering processes to support reliable model training and inference
  • Evaluate and integrate third party AI platforms, APIs, and tools where appropriate
  • Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management
  • Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines
  • Ensure AI solutions meet security, privacy, and responsible AI standards
  • Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations
  • Measure and communicate business impact of AI solutions using clear metrics and outcomes
  • Document system designs, models, and operational processes to support knowledge sharing and scalability
  • Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required.
  • Stay current with applied AI trends and recommend practical innovations that align with business goals

QUALIFICATIONS:

Knowledge, Skills, and Abilities

  • Programming languages:
    • Python for building AI models, automation, and production services
    • SQL for working with structured data used in analytics, forecasting, and model inputs
  • Technical Skills:
    • Strong understanding of data pipelines, feature engineering, and data quality fundamentals
    • Experience integrating AI solutions with existing enterprise systems using APIs
    • Familiarity with cloud-based AI services and deployment patterns
    • Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring.
    • Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs
    • Understanding of software engineering best practices including version control, testing, and documentation
    • Knowledge of security, privacy, and responsible AI considerations in business environments
  • Preferred Programming Languages:
    • JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools
    • Bash or shell scripting for automation and deployment tasks
  • Preferred Technical Skills:
    • Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns
    • Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage
    • Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric
    • Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
    • Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services
    • Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting.
    • Experience evaluating and integrating third party AI platforms or vendors
    • Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes
    • Familiarity with emerging AI regulations and auditability techniques
    • Ability to mentor or guide others on applied AI best practices

Education and Experience

  • Bachelor's degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience
  • Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments.
  • Experience building and deploying applied AI or machine learning solutions in production environments
  • Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow
  • Practical experience using large language models via APIs for real world business use cases
  • Experience designing and implementing AI driven automation or agentic workflows

Disclaimer

This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.

At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.

A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"

A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.


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