Artificial Intelligence Jobs in Bellevue, WA

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 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.

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.

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

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

Lead research and development of LLM and generative AI solutions, design scalable real-time ML models, define priorities and metrics for deep learning and RAG, promote Responsible AI best practices, and drive adoption of new methods across teams.

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.

Design and build AI agents, first-party web and mobile apps, and scalable backend services. Integrate LLM frameworks and enterprise systems, implement APIs and microservices, ensure observability and security, and collaborate with Finance, Security, and Engineering stakeholders.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

The VP of Product will lead CoreWeave's Research Training Stack, focusing on enhancing AI infrastructure, ensuring quality for pre-trained models, and connecting researchers with advanced cloud capabilities.

Design and implement scalable, low-latency AI security infrastructure and high-performance networking code in Rust. Collaborate with product and cross-functional teams, debug complex network/system issues, and deliver secure, testable solutions for large-scale cloud security platform.

Serve as the field technical authority bridging enterprise AI and security: drive AI security strategy, lead demos and POVs, advise on LLM/RAG/agent risks and data protection, influence product roadmap, and create reusable enablement assets to scale sales and secure production AI deployments.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

Lead a team building production AI systems for code generation and developer productivity. Define technical roadmap, drive architecture for distributed training/inference and model serving, partner cross-functionally, establish evaluation/observability/benchmarking practices, and hire and mentor engineering talent to deliver scalable, reliable AI-powered developer tooling.

Design, build, and support cloud-native applications and platform services to modernize enterprise platforms, improve developer productivity, automate engineering workflows, and apply AI-assisted tools to enhance software development and operations. Participate across the SDLC, implement secure scalable APIs, troubleshoot production issues, and collaborate with architects, SREs, and business partners on DevSecOps and applied AI initiatives.

The engineer will deploy Okta's agent security solutions at customer locations, collaborate with teams, and ensure agent identity and security protocols are met.

The Senior Engineer, Enterprise AI designs and develops AI applications that enhance productivity and decision-making across T-Mobile's enterprise, utilizing various AI frameworks and collaborating with cross-functional teams.

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.

Drive LLM training and inference efficiency by profiling, benchmarking, and optimizing GPU kernels and deep learning systems. Implement latency and resource-use reductions, scale system performance, contribute to agentic frameworks, and publish open-source innovations and research.

Lead and manage a team of AI hyperspecialist sales architects to influence enterprise AI purchasing, drive multi-year sales growth and portfolio profitability, coordinate cross-functional teams and partners, build C-level relationships, streamline sales strategy and execution, and deliver recurring revenue and renewal targets across global accounts.

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.