Artificial Intelligence Jobs in Bellevue, WA

The Associate Technical Product Manager analyzes data for product optimization, collaborates with teams, and implements improvements using modern data techniques.

The AI Growth Product Manager will strategize and grow AI agents at CoreWeave, collaborating with various teams to enhance business operations through AI integration and development.

As Commercial Counsel, you will review and negotiate customer agreements, provide legal support for revenue-generating activities, and collaborate cross-functionally to ensure adherence to legal policies.

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

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

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

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

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

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Lead the AI strategy and programs for R&D at Zscaler, managing use case identification, vendor evaluations, and AI adoption across engineering teams.

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

Develop AI agents and applications, manage backend and frontend technologies, integrate complex data systems, and enhance user experience across CoreWeave's platforms.

As an AI Engineer, you will design and implement LLM applications while evaluating GenAI workflows, collaborating with teams to enhance production systems and tools.

The Corporate AI Engineer develops and operationalizes AI solutions across the enterprise, ensuring compliance and optimizing performance while working closely with various teams.

The role involves architecting AI solutions in healthcare, collaborating across teams, developing reference architectures, and ensuring compliance standards are met while staying updated on AI advancements.

The Applied Scientist will design, deploy, and scale ML systems for supply chain risk forecasting, collaborating with economists and data engineers to optimize sourcing decisions and ensure models run effectively in production.

As a Sr AI Software Engineer, you'll design and develop AI solutions, integrate large language models, and enhance productivity across teams.

The Sr AI Strategy Manager leads T-Mobile's AI initiatives by identifying customer needs, analyzing data, guiding strategic decisions, and collaborating with stakeholders to drive business growth through AI-powered solutions.

Develop and optimize platform services, collaborate in Agile teams, enhance infrastructure security and efficiency, and implement automation for improved developer experience.

Summer intern collaborating on Grid Software (GridOS, AEMS, ADMS) to develop and enhance ML-driven features. Apply electrical engineering and AI/ML (DNNs, GNNs, time-series) to solve power-system problems, contribute to pilots and R&D, and integrate intelligent agent tools for improved grid operations.

Develop and evaluate cutting-edge multimodal generative AI methods (image/video), build research prototypes and infrastructure, publish and present findings, collaborate across teams, and work with Ethics and Governance to ensure responsible development.