Artificial Intelligence Jobs in Bellevue, WA

Lead executive and internal communications for the COO, serving as a strategic advisor and shaping leadership narratives, messaging, and organizational alignment. Draft executive remarks, business updates, Q&As, video scripts, and employee communications; support speaking engagements and change communications; partner with Marketing and External Communications; establish communication planning processes; and measure employee engagement effectiveness across a distributed operations workforce.

Build, optimize, validate, and deploy machine learning models for healthcare applications. Analyze healthcare data, conduct A/B experiments and statistical studies, develop scalable ML processes, research advanced AI approaches, and collaborate with software engineers on productionization. Mentor and recruit AI/ML talent, present findings to leadership, and pursue intellectual property through innovative AI research.

Build, test, document, launch, and support AI-powered tools, prompts, skills, agents, automations, and workflows for DC Operations. Partner with field technicians to gather requirements, maintain intake/tracking, evaluate opportunities, facilitate training, provide day-to-day support, track tool usage and impact, and convert field-built solutions into documented, supported assets.

Own CoreWeave’s AI training infrastructure narrative, positioning, competitive messaging, customer evidence strategy, go-to-market approach, and sales enablement. Translate Kubernetes, scheduling, bare-metal performance, and distributed training capabilities into compelling messaging for AI research leaders, platform engineers, developers, and technical architects. Partner with technical teams on benchmarking, collaborate with Sales, Solutions Architects, and DevRel, and measure impact through deal velocity, contract value, competitive win rates, adoption, and retention.

Develop and run rigorous benchmarks and profiles for LLM inference workloads to identify bottlenecks and drive targeted performance optimizations across frameworks, runtimes, and GPU hardware. Design experiments (quantization, caching, speculative decoding), validate changes against real traces, partner with platform engineers to productionize improvements, and produce clear technical writeups to guide model-serving, runtime, and hardware decisions.

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.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Leads the global sales enablement function, overseeing onboarding, continuous training, certification, account planning, sales kickoffs, and enablement strategy. Develops enterprise sales training curricula, measures program effectiveness, coaches the enablement team, and partners with Product Marketing and Product to align messaging with Tanium’s AI-driven roadmap. Requires experience managing large-scale global enablement programs and up to 10% travel.

Own the Commerce product area at Flexport, defining 12–18-month roadmaps and delivering features for quoting, billing, invoicing, payments, and logistics workflows. Build intelligent AI agents, improve automation and profitability, partner with engineering, design, sales, and operations teams, and use SQL, analytics frameworks, and quantitative insights to prioritize initiatives and measure outcomes. Collaborate globally with teams in the US and China to create intuitive products for logistics operators and clients.

Lead strategy and execution of an AI-native product-led growth motion for ITSM: own the AI customer journey, build telemetry and experimentation, design onboarding and PQL models, partner cross-functionally to drive activation, adoption, expansion, and measurable revenue and lifetime value growth.

Leads cross-portfolio AI product strategy by integrating customer insights, pricing and packaging decisions, roadmap direction, and adoption initiatives. Partners with product, engineering, customer success, pricing, and commercial teams to shape AI platform bundles, consumption-based models, and go-to-market positioning. Establishes customer feedback programs, identifies adoption barriers, translates research into product requirements, and measures the impact of product and pricing changes on usage, expansion, and revenue.

Build and operate reliable, scalable, secure infrastructure for SaaS security and Snowflake data systems. Automate infrastructure provisioning, deployments, and incident response using Terraform, Spinnaker, Kubernetes, and related tools. Ensure security and compliance, participate in on-call rotations, lead incident response and root-cause analysis, and collaborate with development, data science, and security teams on architectural decisions and service implementation.

Drives cybersecurity initiatives across Security Operations Center and Incident Response teams, tracking technical execution through completion. Identifies and mitigates risks, blockers, and dependencies; maintains the threat response roadmap; coordinates people, processes, and technologies; and communicates progress with IT and business stakeholders. The role supports security strategy, automation, incident escalation, detection engineering, and remediation efforts.

This internship focuses on developing software solutions for wholesale energy markets within GE Vernova’s Grid Software Solutions organization. Interns will solve energy optimization and power systems problems, apply software and analytical skills, and gain hands-on experience with digital technologies. Desired areas include machine learning, deep learning, GPU applications, quantum computing, artificial intelligence, conversational AI, optimization, and power systems.

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.

Leads SOC and incident response process improvement, automation, analytics, and responsible AI adoption. Designs and documents threat response workflows, builds SOAR and AI integrations, governs use cases, develops reporting, and trains teams. Partners cross-functionally to deliver cybersecurity initiatives, improve response speed, reduce manual effort, and strengthen threat response capabilities.

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.

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 technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Design and deliver generative AI and computer vision models and on-device inference for consumer AR experiences. Prototype research advances, optimize models (compression, quantization, distillation), collaborate across teams, and productionize scalable inference pipelines for mobile and wearable platforms.

Lead architecture, design, and delivery of large-scale GenAI-enabled, distributed systems. Manage and mentor engineering teams, define standards and APIs, integrate LLMs and agentic workflows, ensure production readiness, observability, scalability, and partner cross-functionally with Product, AI/ML, Data Engineering, and DevOps.

Lead ZAIDYN's AI Engineering function to design, build, and ship an enterprise-grade agentic AI platform. Own architecture, integrations (AWS Bedrock/AgentCore), LLMOps/eval frameworks, observability, governance, and team hiring/operations. Ensure production readiness, cost/latency controls, auditability, and cross-functional delivery with product and QA while representing the platform externally.

Senior Software Engineer focused on AI infrastructure performance insights and observability. Responsible for designing and building monitoring, instrumentation, metrics, and tooling to measure and optimize compute and platform performance while collaborating with infrastructure and ML teams.