1

Generative Ai Developer Jobs in Seattle, WA (NOW HIRING)

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior AI Engineer Introduction to the Team Expedia Group B2B empowers partners to deliver ... Stay current with advancements in Generative AI, Agentic AI, and intelligent automation ...

Senior AI Engineer

Seattle, WA · On-site

$184.50 - $258/hr

Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business ... Stay current with advancements in Generative AI, Agentic AI, and intelligent automation ...

Sr. Cloud Engineer@ Seattle, WA

Seattle, WA · On-site

$63.50 - $84.75/hr

Exposure to Generative AI engineering tools and frameworks (Azure OpenAI, Vertex AI, AWS Bedrock). * Experience working in enterprise-scale environments.

Lead AI Engineer

Bellevue, WA · On-site

$155K - $167K/yr

Research and prototype cutting-edge approaches in Generative AI and share learnings with the team ... Prompt engineering expertise * Embeddings and vector search * Experienced in backend API design ...

Lead AI Engineer

Bellevue, WA · On-site

$115K - $152K/yr

Research and prototype cutting-edge approaches in Generative AI and share learnings with the team ... Prompt engineering expertise * Embeddings and vector search * Experienced in backend API design ...

New

... engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences. • Design and conduct experiments to evaluate ...

Showing results 41-60

Generative Ai Developer information

See Seattle, WA salary details

$21

$51

$114

How much do generative ai developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for generative ai developer in Seattle, WA is $51.57, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $62.40 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are popular job titles related to Generative Ai Developer jobs in Seattle, WA?

For Generative Ai Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Seattle, WA look for?

The top searched job categories for Generative Ai Developer jobs in Seattle, WA are:

Senior AI Engineer

Expedia

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th of 11 rated travel agencies


Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Senior AI Engineer

Introduction to the Team

Expedia Group B2B empowers partners to deliver exceptional traveler and B2B experiences, driving growth for both our partners and the Expedia Group marketplace. We achieve this through competitive supply, a trusted advertising and travel media network, and effective affiliate solutions.

As a member of the B2B Supply Marketing Digital Operations Data team, you will drive strategic AI initiatives and intelligent automation efforts that power insights, personalized experiences, and next-generation marketing capabilities for our partners. This role sits within the Marketing Technology & Digital Operations Engineering organization and is responsible for identifying, building, and scaling AI-powered solutions that improve productivity, automate workflows, unlock insights, and transform how marketing teams work. The ideal candidate combines strong technical expertise with curiosity, experimentation, and a deep understanding of how AI can fundamentally change business processes.

In this role, you will:

  • Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.

  • Lead end-to-end delivery of AI products and solutions - from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.

  • Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.

  • Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.

  • Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.

  • Build AI solutions that combine business, operational, and marketing data to generate actionable insights and move teams from reactive reporting toward proactive recommendations and automation.

  • Develop reusable frameworks, playbooks, and accelerators that enable rapid experimentation and scaling of AI capabilities across Digital Operations and Marketing teams.

  • Lead pilots and proof-of-concepts that demonstrate measurable business impact, and drive adoption of AI-first operating models through best practices and governance frameworks.

  • Establish standards for AI development, testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations.

  • Stay current with advancements in Generative AI, Agentic AI, and intelligent automation, contributing to the long-term AI roadmap for Marketing Technology and Digital Operations.

Experience and Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience

  • 8+ years of software engineering, data engineering, or platform engineering experience

  • 3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions

  • Proficiency in Python and modern software engineering practices

  • Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies

  • Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights & Biases, or Databricks

  • Strong knowledge of cloud platforms (AWS preferred) with experience deploying scalable AI services, APIs, and microservices

  • Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization

  • Experience integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems

  • Proficient communication skills with the ability to work both collaboratively and autonomously across technical and non-technical teams

Preferred:

  • Experience in marketing technology, including familiarity with CRM systems, marketing automation platforms, or personalization engines

  • Familiarity with Salesforce, Adobe Experience Cloud, Marketo, Braze, or similar MarTech ecosystems

  • Experience building enterprise AI copilots, assistants, or agent-based automation solutions

  • Knowledge of AI governance, responsible AI practices, and enterprise AI adoption strategies

  • Experience leading AI transformation initiatives with measurable business outcomes

#LI-AD1

The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

What Expedia Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom