Top Tech Jobs & Startup Jobs in Seattle, WA

Build and maintain large-scale infrastructure for multimodal generative AI, including data processing, model pretraining, post-training, inference, and serving frameworks. Collaborate with research scientists and product engineers to resolve infrastructure challenges, optimize distributed CPU/GPU workloads, influence software and hardware architecture, and accelerate AI product delivery. The role also involves multimodal data processing, distributed training and inference, model evaluation, reinforcement learning, quantization, and technical project leadership.

Leads and manages a cloud solution architecture team supporting complex customer and partner transformations. Oversees cloud, AI, Copilot, security, resilience, adoption, and consumption strategies while coaching teams to deliver operationally ready, cost- and performance-optimized solutions. Drives customer engagement with technical and business executives, partner orchestration, technical projects, operational excellence, risk mitigation, sales support, and cross-solution expansion. Responsible for people development, performance management, technical readiness, thought leadership, and scalable architecture practices.

Develop and evolve Azure capacity infrastructure, platform capabilities, and service stacks at scale. Provide technical leadership in requirements, architecture, design, coding, release planning, and operational reliability. Mentor engineers, manage cross-product dependencies, serve as a designated responsible individual, participate in on-call support, and improve system availability, observability, performance, and efficiency.

Define product vision and roadmap for enterprise AI readiness within Microsoft Security. Lead cross-functional teams to build secure, customer-facing experiences across identity, devices, data, governance, and cloud, measure adoption via telemetry, engage customers and stakeholders, and drive go-to-market and operational excellence.

Lead Services Sales account strategy for multiple assigned accounts, drive renewals, upsells, and strategic cloud/AI opportunities. Orchestrate the account team, manage deals from qualification through close, ensure smooth sales-to-delivery handoffs, gather customer insights, and align Microsoft services to customer priorities to grow consumption and satisfaction.

Lead customer-facing technical sales engagements for GitHub Copilot, GitHub Enterprise, and Microsoft developer technologies. Responsibilities include discovery, demos, hackathons, workshops, training, pilots, adoption planning, and technical competitive positioning. The role translates AI-powered software development capabilities into business outcomes and advises SLED customers on DevOps, CI/CD, security, governance, Azure integration, licensing, and token optimization.

Lead and coordinate enterprise-wide response to critical cybersecurity incidents and vulnerabilities. Triage incidents, make high-stakes remediation decisions, produce incident reports and executive updates, validate customer guidance, and drive cross-organizational remediation efforts to protect Microsoft and its customers.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.