Top AI Jobs in Seattle, WA

As an AI Outcomes Manager, you will lead AI adoption in legal practices, create measurable workflow solutions, and ensure effective product implementation aligned with client needs.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The role involves creating technical content, managing technical communities, and fostering relationships in cloud and AI technology while maintaining a hands-on approach with technology.

Manage AI platforms, focusing on zero and low-code solutions. Collaborate with vendors and engineering teams to enhance AI capabilities and cross-functional integrations.

The Senior Solutions Architect will design and implement cloud solutions focused on AI/ML and GPU technologies, collaborating with customers and internal teams to drive innovation and cloud adoption.

The AI Researcher will develop foundation models for market predictions, improve model components, and leverage advanced computing resources to support trading decisions.

The AI Video Learning Producer creates AI-driven educational videos, managing production from script to publish while fostering community engagement and advocacy.

The Software Engineer will develop systems software for AI platforms, focusing on reliability, performance, and developer tools. Responsibilities include designing services, creating APIs, and ensuring system robustness.

The Business Development Representative will manage inbound leads, qualify opportunities, and engage customers to expand DigitalOcean's customer base, focusing on Cloud and AI solutions.

Lead a team of 12-20 engineers in managing AI integrations for Dropbox's File Sync & Share product, emphasizing software quality and operational excellence while collaborating across teams.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

As a Strategy & Transformation Manager, you will lead projects, mentor consultants, and collaborate with clients to improve business processes, leveraging technology and data strategies for operational success.

The Senior Software Engineer will provide technical leadership, build and scale AI/ML systems, maintain APIs, and collaborate on design while independently shipping product features.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

As a PhD AI Research Intern, you will collaborate on advanced ML projects, manage datasets, evaluate algorithms, and contribute to publications.

The Account Director oversees customer accounts, manages revenue targets, collaborates with various teams, and supports customer engagement using AI solutions.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The Principal Product Manager - AI will lead strategy, execution, and launch of AI features, collaborating across teams to enhance product offerings and customer value in the SaaS space.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.