Top AI Jobs in Seattle, WA

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

As a Product Owner, you will oversee AI, ML, and automation initiatives within the Pet Insurance sector, managing product backlogs and collaborating across teams to enhance operational efficiency and customer experience.

Lead the product strategy for the Data and AI Platform, focusing on customer-oriented AI features, roadmap execution, and collaboration across teams to enhance identity security solutions.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

Lead the development of AI/ML platforms, manage a team, optimize ML workflows, ensure platform meets researchers' needs, drive innovation.

The role involves reviewing and negotiating customer agreements, providing legal support for revenue-generating activities, and counseling on legal issues for commercial transactions.

The role involves managing AI/GenAI solution development, analyzing client needs, mentoring team members, and overseeing project execution.

As a Senior Associate, you'll enhance customer interactions by translating client requirements into workflows, applying UX principles, and analyzing data for decision-making while leading stakeholder workshops.

Lead the design and deployment of AI applications, collaborating with teams to integrate LLM models and ensure performance metrics are met, while fostering continuous improvement.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

Lead cross-functional initiatives to improve member experience through AI voicebot and IVR development. Use data insights for performance improvement and collaboration across teams.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Applied AI Engineer will develop systems and tools for AI integration, designing backend architecture and APIs, and collaborating across teams to implement AI solutions.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

The IT Product Manager will drive AI innovations in product management, work with stakeholders, and deliver AI-powered solutions, guiding product direction and lifecycle management.

The Head of AI & Emerging Technologies will define and lead the AI strategy, drive innovation, ensure compliance, and measure business value across the organization.

The Sr. Director of Product Management - Enterprise AI leads strategy and development of AI capabilities, enhances productivity, and drives transformation across the company. This role involves team leadership, stakeholder collaboration, and establishing best practices for AI implementation.

The role involves developing networking solutions, conducting technical meetings, and collaborating with customers to drive AI hardware implementations.

The Senior GTM Engineer will develop AI solutions for GTM workflows, integrate AI platforms with core tools, and lead AI experiments to drive revenue impact.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.