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

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments * Databricks certification (e.g., Databricks Certified Data Engineer or Databricks ...

Business Systems Software Engineer

Hillsboro, OR · On-site

$188K - $223K/yr

General Summary The Business Systems Software Engineer builds intelligent business applications ... Experience incorporating generative AI capabilities into software applications using Azure AI ...

General Summary The Business Systems Software Engineer builds intelligent business applications ... Experience incorporating generative AI capabilities into software applications using Azure AI ...

An important key aspect of this position is driving innovation through building generative AI solutions across all of these systems and identifying opportunities where AI can accelerate engineering ...

An important key aspect of this position is driving innovation through building generative AI solutions across all of these systems and identifying opportunities where AI can accelerate engineering ...

... Generative AI services * Leading cloud migration, application consolidation, and database ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations. * Partner with data engineering teams on pipeline ...

... Generative AI, transformative technologies, and creative design. We can enhance customer ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Showing results 41-60

Generative Ai Engineer information

See Portland, OR salary details

$39.9K

$121.8K

$201.3K

How much do generative ai engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for generative ai engineer in Portland, OR is $121,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $159,200.00 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 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:

Infographic showing various Generative Ai Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,875 per year, or $59.1 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 24 days ago


Nike rating

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


Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

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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