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

anduril

Generative AI Chief Engineering Lead

Seattle, WA · On-site

$254K - $336K/yr

Generative AI Chief Engineering Lead Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the ...

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Deloitte

Oracle Generative AI Manager

Seattle, WA

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

Adobe

Applied Scientist, Generative AI/ML

Seattle, WA

$151.80K - $265.35K/yr

Collaborate with world-class researchers and ML engineers to bring research ideas to creative ... Research or industry experience in training Generative AI models (pre-training and/or post-training ...

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How much do generative ai developer jobs pay per hour?

As of May 28, 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 the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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 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 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 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 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:
Generative Ai Developer jobs near you

AI Engineer - Generative AI (AWS Bedrock)

US Main

Seattle, WA • Hybrid

Other

Posted 15 days ago

Job description

AI Engineer – Generative AI (AWS Bedrock) Location-Seattle, WA (4 Days Onsite) or Vancouver, Canada (4 Days Onsite) Job Type-Long Term Contract We are seeking experienced AI Engineers to support a large retail client’s enterprise AI roadmap. This role focuses on designing, developing, and deploying Generative AI solutions using AWS Bedrock and modern LLM architectures. Key Responsibilities: Build GenAI applications using AWS Bedrock Develop LLM solutions (chatbots, summarization, recommendations) Implement RAG architectures and prompt engineering Integrate AI solutions with retail systems (POS, CRM, e-commerce, supply chain) Required Skills: Strong experience with AWS Bedrock Hands-on Generative AI/LLM development experience Python programming Experience with RAG frameworks and vector databases (Pinecone, FAISS, OpenSearch) Knowledge of AWS services (Lambda, S3, API Gateway, IAM)

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