Top AI Jobs in Seattle, WA

The Integration Product Manager leads product management initiatives, drives innovation using technology, mentors junior staff, and ensures project success.

The Principal Solutions Engineer will lead pre-sales efforts, understand customer needs, provide tailored solutions, and collaborate with sales teams to drive enterprise deals.

As Senior Counsel, Product, you'll partner with R&D teams, offering legal guidance on healthcare regulations and technology innovations, ensuring compliance while fostering business growth.

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

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The Principal Strategic Architect designs and implements managed services applications, ensuring architectural alignment with business strategy. Responsibilities include strategic planning, governance, evaluation of new technologies, creating prototypes, establishing coding standards, and leading digital transformation initiatives.

Lead CCaaS workstreams by managing entire delivery lifecycle, client partnerships, and cross-functional teams to ensure operational excellence and project success.

As a Digital Contact & Services Manager, you'll lead AI solutions in contact centers, mentor staff, manage client relationships, and ensure strategic plan execution while maintaining high ethical standards.

As RFM AI Governance Manager, you'll develop AI governance frameworks, conduct risk assessments, mentor staff, and navigate the regulatory landscape, focusing on compliance and strategic planning.

Lead the development of GenAI products and manage a cross-functional team. Shape strategy, mentor team members, and ensure quality in AI systems.

Assist in developing algorithms to solve business challenges, execute data modeling techniques, collaborate in data science solutions, and create presentations for clients.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

Manage the development and validation of AI models, lead projects, provide strategic client interaction, and foster team improvement.

Lead the development of Contact Center AI solutions, improve customer engagement, and oversee multiple projects while managing client relations and mentoring teams.

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

Design and develop AI agents and applications for CoreWeave, focusing on user-centered workflows, automation, and integrating various systems.

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.

Lead the development of user interfaces for the Agentic AI platform, collaborate with designers and engineers, and ensure high usability and accessibility standards.

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

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

The role involves managing the Velocity Black Concierge product, collaborating with stakeholders, enhancing luxury concierge offerings, and prioritizing product development based on customer experience and business needs.

As Product Manager for Falcon AI Studio, you'll shape strategy, gather requirements, collaborate with teams, and optimize user experiences for cybersecurity solutions.

The Engineering Manager will lead the AI/ML Platform team, enhance AI infrastructure, ensure safety and efficiency, and mentor engineers in a dynamic environment.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.