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Generative Ai Engineer Jobs in Oregon (NOW HIRING)

Cotiviti

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

InvoiceCloud

OR · On-site

We are seeking a highly skilled and results-oriented AI Security Engineer to support the ... Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent ...

Robots and Pencils

OR

... generative AI development * Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems * Deep expertise with cloud platforms ...

Arize AI

OR · On-site

$150K - $220K/yr

... engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor ...

Vista Equity Partners Management

$200K - $315K/yr

The ideal candidate combines deep technical expertise in generative AI, agents, and agentic ... This is a deep technical role regarding hands-on work alongside the portfolio engineering teams.

Nvidia

Senior Applied AI Engineer

Hillsboro, OR

$113K - $156K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

LTS

Lead AI Architect/Strategist

OR · Remote

... enabling Generative AI capabilities, and guiding the adoption of Large Language Models (LLMs ... This individual will work across engineering, data, product, cybersecurity, and leadership teams to ...

Cotiviti

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Career Opportunities | (ISC)²

Partner with architecture, engineering, data, security, product, and business stakeholders to ... Deep knowledge of AI/ML concepts and patterns, including machine learning, generative AI, large ...

(ISC)2

Partner with architecture, engineering, data, security, product, and business stakeholders to ... Deep knowledge of AI/ML concepts and patterns, including machine learning, generative AI, large ...

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Rather than replacing engineers, we're building AI that accelerates engineering through ... Hands-on experience developing applications powered by Large Language Models (LLMs) and Generative ...

Cotiviti

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Cotiviti

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

LMI

Operationalize generative AI systems by developing robust, scalable pipelines for deployment across multiple environments. * Design and implement advanced data manipulation and pipelining workflows ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Oregon

Generative Ai Engineer information

See Oregon salary details

$40.2K

$122.5K

$202.5K

How much do generative ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for generative ai engineer in Oregon is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $160,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Oregon? The most popular types of Generative Ai Engineer jobs in Oregon are:
What are popular job titles related to Generative Ai Engineer jobs in Oregon? For Generative Ai Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Oregon look for? The top searched job categories for Generative Ai Engineer jobs in Oregon are:
What cities in Oregon are hiring for Generative Ai Engineer jobs? Cities in Oregon with the most Generative Ai Engineer job openings:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Oregon as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,502 per year, or $58.9 per hour.

AI-forward Software Engineer

JS Consulting

Beaverton, OR • On-site

Contractor

Re-posted 4 days ago

Job description

Job Title- AI-forward Software Engineer

Project Location – (Remote + international travel) (expenses paid by client for the international travel)

Duration- 6+ months contract

Visa- USC/ GC/ GCEAD/ H4EAD

Must have Valid LinkedIn profile.

Job Description-: This is a unique position as it'll require hands-on coding in BOTH GitHub Copilot AND Amazon Q, previous mentorship/training experience (think: paired programming, or DevRel type work), and will very likely require international travel (India is confirmed as a primary location, possibly Europe and, South America). 
These individuals will be supporting ~50 engineers, over 2-week sprints. for a total of 30 weeks. The rotation, work schedule, and travel plans are all up in the air, so we need to talk to contractors that'll be flexible. 

GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer (Remote + international travel)

We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI.
This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below.

 Key Responsibilities

  • Design and deliver structured, hands-on developer sprints focused on GitHub Copilot and Amazon Q.
  • Facilitate live coding sessions, demonstrations, and collaborative labs.
  • Mentor developers through real-world challenges, providing guidance on prompt engineering, debugging, and feature implementation.
  • Develop and maintain instructional materials, including curriculum, documentation, and best-practice guides.
  • Adapt instructional strategies based on participant feedback and learning progress.
  • Promote responsible AI usage, including security, ethics, and data privacy considerations.

 Required Skills & Proficiencies

  • Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration
  • Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command.
  • Advanced prompt engineering skills for both platforms.
  • Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
  • Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
  • Strong problem-solving mindset and diagnostic skills.
  • Passion for generative AI and developer enablement.

 Instructional & Communication Skills

  • Advanced curriculum development and public speaking abilities.
  • Expert-level live coding and demonstration skills.
  • Strong mentoring and facilitation capabilities.
  • Intermediate technical writing skills for post-sprint resources.

 Technical & Development Skills

  • Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java.
  • Expert fluency with IDEs such as VS Code and JetBrains.
  • Deep understanding of GitHub Flow, Agile practices, and version control.
  • Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD).
  • Strong grasp of testing and debugging strategies.

 Preferred Qualifications:

  • Certifications in cloud platforms (e.g., AWS) or DevOps practices.
  • Contributions to open-source or developer communities.
  • Patience, empathy, and adaptability in instructional settings.