1

Ai Automation Testing Jobs in Oregon (NOW HIRING)

A/B testing agent versions, model comparisons. Programming for Automation * Write modular, reusable ... Experience with AI/ML concepts and implementing AI workflows in enterprise environments. * Hands-on ...

OR · On-site

Build automation and AI workflows using modern engineering practices (version control, code review, testing, CI/CD), with a focus on maintainability and reusability. * Contribute to shared patterns ...

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

About the Role We are seeking a hands-on AI & Automation Engineer to design, build, and optimize ... A/B testing agent versions, model comparisons. Programming for Automation * Write modular, reusable ...

We're looking for a Software Engineer - Contractor to join our AI/Automation team and contribute to ... testing. This role is hands-on. You'll be writing code, building features, integrating AI ...

C++ Developer (Software/ Industrial Automation)

OR · On-site +1

$49 - $66/hr

Experience with automation testing frameworks and methodologies. * Experience using AI-powered development tools such as GitHub Copilot. * Familiarity with modern software engineering practices and ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ... testing, deployment, and ongoing operation * Build modular, composable agentic systems using ...

Modernize development and testing practices through automation, DevOps, and AI-enabled workflows that improve quality, security, and efficiency. * Talent Development: Recruit, develop, and retain ...

Create Validation and testing documentation for automation solutions Provide Reusable Automation ... on AI agents * 1+ years of using AI coding assistants to develop scripts and apps (Claude Code ...

Senior Program Manager, People Programs & AI

OR · Remote

$115K - $116K/yr

Support the design, testing, implementation, and adoption of AI-enabled solutions across HR functions. * Measure and track the impact of AI and automation initiatives, including efficiency gains ...

Working under the direction of the Automation and AI Enablement Lead, in coordination with the ... tester, business analyst, project manager, or similar role * 1+ years of experience developing ...

OR · On-site

... rigorous testing before anything ships. * Jump in when a deployment is stalled, a system ... Maintain a prioritized pipeline of AI and automation opportunities surfaced through domain embeds ...

OR

$65K - $89K/yr

... AI-enabled and workflow automation opportunities to streamline HR technology operations * Leverage tools such as Microsoft Copilot, Power Automate, and AI assistants for documentation, testing ...

Experience implementing AI-driven testing or intelligent test automation solutions, preferred. * Experience building high-performing QA teams and fostering a culture of quality, accountability, and ...

Experience implementing AI-driven testing or intelligent test automation solutions, preferred. * Experience building high-performing QA teams and fostering a culture of quality, accountability, and ...

next page

Showing results 1-20

Ai Automation Testing information

Will AI replace automation testing jobs?

AI automation testing jobs involve developing and maintaining automated test scripts using tools like Selenium or TestComplete. While AI can augment testing processes by increasing efficiency and coverage, human testers are still essential for designing test cases, analyzing complex issues, and interpreting results, so complete replacement is unlikely in the near term.

How much do AI testers make?

AI testers typically earn between $60,000 and $100,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in automation tools and machine learning can earn higher salaries.

What are some common challenges faced by AI Automation Testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These positions usually involve overseeing complex projects, developing innovative algorithms, and utilizing tools like TensorFlow or PyTorch, with compensation reflecting expertise and strategic impact.

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

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

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

Is AI testing a good career?

AI automation testing is a growing field with increasing demand for professionals skilled in programming, scripting, and tools like Selenium and AI frameworks. It offers opportunities in technology companies, with a focus on quality assurance, and often requires continuous learning to keep up with evolving AI technologies.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

What are popular job titles related to Ai Automation Testing jobs in Oregon? For Ai Automation Testing jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Automation Testing jobs? Cities in Oregon with the most Ai Automation Testing job openings:
Infographic showing various Ai Automation Testing job openings in Oregon as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Automation Engineer

AI Automation Engineer

Tebra

OR • Remote

Other

Posted 2 days ago


Key responsibilities

  • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.

  • Develop and automate ELT/ETL processes to support BI Analytics and AI retrieval across datasets with different access patterns.

  • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.


Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business operations. You'll own the Workato automation stack, develop resilient data pipelines between core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement AI-enabled capabilities that reduce manual work and accelerate insights.

This role requires deep technical execution skills in integration development, data modeling, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions - delivering measurable improvements in data accessibility, system efficiency, and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns.
    • Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost.
    • Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system.
    • Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets.
  • AI Operations
    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake.
  • Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar).
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector.
  • Experience with AI/ML concepts and implementing AI workflows in enterprise environments.
  • Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Hands-on experience using APIs and programming languages to build and maintain scalable enterprise integrations.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro or SnowPro certifications preferred.

(For Recruiter use only) #LI-SS1 #LI-Remote