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Ai Engineer Salary In Jobs in Oregon (NOW HIRING)

Staff AI Engineer

Portland, OR ยท On-site

$140 - $210/hr

THE ROLE As a Staff AI Engineer, you may work on projects that require strong execution, communication, analytical judgment, and the ability to move quickly in ambiguous environments. This posting is ...

New

As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how ... You thrive in ambiguous environments where creativity matters as much as technical execution * You ...

Senior AI Engineer, Real-World Data

OR ยท On-site +1

$122K - $161K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; an ... Experience designing and operating AI systems in cloud environments, with AWS strongly preferred ...

The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ... Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices ...

NGA AI Engineer Manager

Portland, OR

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual ...

$55.75 - $74.50/hr

  • Retirement

  • PTO

... in sync as products evolve. โ€ข Serve as a technical lead on client engagements, translating ... DevOps practices using Azure DevOps and/or GitHub Actions. โ€ข Comfort using AI-assisted ...

ERP AI Engineer - Manager

Portland, OR

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Senior Consultant, Anthropic AI Engineer

OR ยท On-site +1

$104K - $143K/yr

  • Medical

  • PTO

Our role as trusted advisors in the digital landscape empowers the world's most innovative brands ... prompt engineering. * Manage system release schedules and maintain comprehensive, AI-driven ...

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... Present value insights and AI deployment strategies to senior stakeholders in a compelling and ...

... and AI-enabled systems supporting both internal and external products. The role involves ... Software Engineer Salary * Commensurate with industry position, depending on experience Shift

AI Developer/Engineer

OR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... Engineer to support an Artificial Intelligent Support Services program. This is a fully-remote ... Prepare, clean, transform, and analyze structured and unstructured data for use in AI and machine ...

Showing results 21-40

Ai Engineer Salary In information

What is the difference between Ai Engineer Salary In vs Data Scientist?

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

Do I need a degree to be an AI engineer?

While a degree in computer science, data science, or related fields is common for AI engineers, it is not always mandatory; practical skills, experience with programming languages like Python, and knowledge of machine learning frameworks are highly valued. Many successful AI engineers are self-taught or have gained expertise through online courses, certifications, and hands-on projects.

How much money do AI engineers make?

AI engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow can command higher salaries, often exceeding $200,000.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries can vary based on experience, location, and industry, but overall, AI engineering is considered a well-compensated profession in the tech field.

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

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

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

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What cities in Oregon are hiring for Ai Engineer Salary In jobs?

Cities in Oregon with the most Ai Engineer Salary In job openings:

Infographic showing various Ai Engineer Salary In job openings in Oregon as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Staff AI Engineer

Career Launch

Portland, OR โ€ข On-site

$140 - $210/hr

Other

Posted yesterday

New


Job description

ABOUT CAREER LAUNCH

Career Launch is hiring for this role and related opportunities. We review candidate profiles across active roles and use resumes/profiles to understand which backgrounds may be a fit.

THE ROLE

As a Staff AI Engineer, you may work on projects that require strong execution, communication, analytical judgment, and the ability to move quickly in ambiguous environments.

This posting is intended for candidates who want to be considered for this role type and closely related opportunities.

WHAT YOU MAY WORK ON
  • Own projects, workflows, research, execution, or stakeholder-facing work related to the role.
  • Turn messy information into clear next steps, concise updates, and practical recommendations.
  • Collaborate across product, operations, growth, strategy, technical, or customer-facing teams depending on the role.
  • Build evidence of your skills through resume/profile context that helps recruiting teams evaluate fit.
WHO THIS IS FOR

This is a strong fit for candidates who are actively exploring new roles and want their resume reviewed for relevant Career Launch opportunities.

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