Artificial Intelligence Jobs in Bellevue, WA

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

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.

Responsible for architecting and developing AI security infrastructure, optimizing performance and scalability of systems, and driving innovation in a collaborative environment.

The role involves developing high-reliability AI security solutions, enhancing security capabilities, and collaborating on network-related projects, while focusing on scalability and performance.

The AI Infrastructure Product Marketing Manager leads the product marketing efforts for CoreWeave's AI cloud infrastructure, developing key narratives, messaging, and GTM strategies. Responsibilities include customer engagement, creating marketing materials, measuring impact, and collaborating with sales and engineering teams to drive adoption.

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.

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

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

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

The Sr AI Engineer will optimize AI models for T-Mobile's customer service, focusing on prompt engineering and enhancing AI capabilities through advanced techniques and collaboration with diverse teams.

The Senior Reliability Engineer will ensure AI power modules meet reliability and quality standards, conducting joint testing, data analysis, and risk evaluation.

The Product Manager will oversee the global content lifecycle, implementing a self-service content management platform using Adobe Experience Manager and integrating AI capabilities.

The role involves leading product strategy and alignment across AI product portfolios, ensuring coherence in functionality, pricing, and conducting M&A assessments.

The Principal AI Engineer will design and build agent harnesses, CI/CD pipelines, and evaluation frameworks for autonomous AI agents. Responsibilities include managing infrastructure, optimizing performance, ensuring security, and facilitating continuous improvement in machine learning initiatives at scale.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

The role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.

The Sr. Enterprise Data & AI Architect will lead architecture transformations for customers, advise executives, and design AI/ML solutions across cloud environments, ensuring data-driven strategies and governance compliance.

The Consulting Manager, AI/ML at Snowflake leads a team of architects, ensuring project delivery and quality. Responsibilities include team mentoring, strategic planning, and cross-team collaboration to enhance AI/ML project outcomes while managing client relationships and business growth.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.

The Software Engineer will develop AI tooling, SDKs, and CI/CD pipelines, enhance the AI platform for developer integration, and collaborate with multiple teams to improve AI reliability and usability.

As a Forward Deployed Engineer at Okta, you will develop AI solutions, influence product roadmaps, act as a technical advisor, and enhance enterprise customer success through deep technical architecture and engagement.

The AI Product Monetization Manager aligns product marketing strategies with business goals, develops messaging and collateral, supports sales teams, and enhances customer engagement through various campaigns and insights analysis.

The Principal AI Product Manager oversees the strategy and execution of AI products at T-Mobile, managing cross-functional teams, ensuring alignment with business objectives, and enhancing customer experience through innovative solutions.

Lead finance transformation by implementing AI-driven automation in FP&A processes, integrating data systems, and guiding finance teams in adoption and compliance.