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Generative Ai Engineer Jobs in Portland, OR (NOW HIRING)

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

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 ...

Deloitte

AI Security Engineer Manager

Portland, OR · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Deloitte

Oracle Gen AI Manager

Portland, OR · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Absci Corp.

Senior Technical Product Manager

Vancouver, WA · On-site

$145 - $180/hr

... Engineers, Structural Biologists, and Screening Scientists to build delivery platforms that allow ... AI-Guided Drug Design A platform that uses generative AI to design and optimize antibody-based ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Portland, OR

Generative Ai Engineer information

See Portland, OR salary details

$40.3K

$122.9K

$203.1K

How much do generative ai engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for generative ai engineer in Portland, OR is $122,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $160,700.00 per year, depending on experience, location, and employer.

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 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 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.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Portland, OR?

The most popular types of Generative Ai Engineer jobs in Portland, OR are:

What are popular job titles related to Generative Ai Engineer jobs in Portland, OR?

For Generative Ai Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Portland, OR look for?

The top searched job categories for Generative Ai Engineer jobs in Portland, OR are:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Portland, OR 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 $122,875 per year, or $59.1 per hour.

Generative AI Lead Designer

Beaverton, OR • On-site

Nike
Retail • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Nikeexternal

Full-time

Re-posted 8 days ago

Job description

WHO YOU'LL WORK WITH
Nike's Design Generative Studio is exploring the future of footwear design at the intersection of creativity and AI technology. You'll partner with world-class designers and engineers globally, reporting to the Generative Studio leadership. Your work will directly impact design teams worldwide as you help build and implement AI-augmented workflows that empower our creative community. You'll collaborate closely with AI/ML engineers, footwear designers, and global technology teams to help transform how Nike approaches product creation.
WHO WE ARE LOOKING FOR
We're looking for a GenAI designer who is both a strong designer and a hands-on tool builder. You bring solid creative foundations paired with a genuine passion for generative AI, an appetite for learning fast, and a natural drive to share what you build with others. You're not just a tool user - you like rolling up your sleeves to create solutions when existing tools fall short, and you're comfortable working at the intersection of art and technology. This role is a great fit for someone who enjoys bridging experimental AI prototypes and production-ready tools, and who can translate design needs into technical requirements (and back the other way).
  • 4-5 years of experience in design, with clear steps toward creative technology and tool-building
  • Bachelor's degree in Industrial Design, Architecture, Fashion Design, or a related creative discipline. Will accept any suitable combination of education, experience, and training
  • Hands-on experience with node-based, visual coding environments for generative AI creative tooling, and a track record of building custom workflows within them
  • Solid working knowledge of 2D and 3D design workflows and software, with an understanding of footwear design principles (or the ability to quickly pick this up)
  • Awareness of additive manufacturing and 3D printing, and how AI-generated concepts can move into physical prototypes.
  • Portfolio showing both creative output and technical/tool-building work
  • Bonus: experience with spatial computing (AR/VR), web development for rapid prototyping, or active participation in the AI/design community

WHAT YOU'LL WORK ON
You'll help shape how Nike approaches footwear design by building and refining AI-augmented workflows that fit naturally into our creative process. Alongside the wider team, you'll create custom tools, support adoption across the design community, and contribute to defining a new creative discipline at Nike.
  • Partner with footwear designers to understand existing 2D and 3D creative workflows, and identify high-value opportunities for AI augmentation that enhance rather than replace human creativity
  • Design and prototype clean, modern generative AI workflows using node-based visual coding environments, tailored to footwear design challenges, iterating quickly on feedback from the design community
  • Collaborate with global AI/ML engineers to accelerate the development and deployment of generative AI solutions, acting as a link between creative and engineering teams and translating design needs into technical requirements
  • Help scale prototypes from proof-of-concept toward enterprise-grade tools that serve designers worldwide, working with global technology teams on reliability, performance, and accessibility
  • Support AI adoption by contributing to training materials, workshops, and demonstrations that make generative AI tools approachable for designers of all technical levels
  • Stay close to developments in generative AI, evaluating and integrating new models and techniques, and helping build a culture of experimentation on the team
  • Share learnings and best practices across the organization to grow the wider design community's capabilities and help drive adoption of new methodologies
  • Provide hands-on support to design teams during key moments such as Creative Launch, Creative Direction Week, and other design reviews, so teams can get the most out of AI tools when it matters most.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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