Top Tech Jobs & Startup Jobs in Seattle, WA

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Designs and implements protocols and features for highly scalable distributed block storage, focusing on durability, availability, performance, reliability, and observability. Responsibilities include coding, optimization, debugging, design documentation, stakeholder collaboration, incident response, on-call operations, and mentoring engineers. The role requires expertise in C or C++, distributed systems, cloud backend development, multithreaded programming, and large-scale software delivery.

Leads customer-facing cloud architecture engagements across Azure AI, applications, infrastructure, and data workloads. Advises executives, designs secure and scalable solutions, guides implementation and operational excellence, resolves technical blockers, oversees strategic account delivery, and accelerates Azure adoption. The role also includes mentoring peers, contributing technical thought leadership, supporting proposals, maintaining cloud certifications, and helping enterprise customers adopt AI and modernize applications at scale.

Build software infrastructure for large language model pretraining and post-training, including benchmarking, evaluation, routing, and backend systems. Contribute to model architecture, data curation, training, inference, alignment, and RLHF. Gather insights for compute roadmaps, make data-informed architectural decisions, and deliver iterative AI products in a fast-paced environment.

Leads Microsoft Americas industry strategy and the ACME co-sell program, aligning sales, marketing, partners, and industry stakeholders. Owns partner prioritization, showcases, account-level co-selling, pipeline acceleration, referral quality, opportunity progression, executive dashboards, and revenue-impact tracking. Builds repeatable partner-led go-to-market motions, activates sellers and partners, supports industry events and storytelling, and communicates performance through dashboards, playbooks, and executive narratives.

Leads front-end planning, fit-out integration, and technical readiness for leased data center projects. Coordinates Microsoft teams, lessors, and subject matter experts; validates scope, procurement timelines, schedules, costs, risks, and technical requirements. Supports constructability reviews, pre-lease kickoffs, handover planning, and execution turnover packages while ensuring safety, compliance, and readiness for project execution.

Design, build, test, deploy, and maintain production software and services. Partner directly with customers and multidisciplinary teams to translate business needs into technical solutions. Apply secure coding, privacy, responsible AI, monitoring, and reliability practices. Participate in incident response and on-call support, conduct root-cause analysis, and create reusable engineering assets and documentation. The role may involve deploying AI or LLM-based solutions and traveling up to 25% of the time.

Establishes and runs a continuous improvement operating rhythm for AI transformation engagements. The role uses adoption and operational signals to redesign workflows, refine prompts and agents, embed standard work, facilitate improvement events, retire low-value solutions, and direct investment toward high-ROI capabilities. It also transfers continuous improvement practices, tooling, and cadences to customer teams so gains remain durable after the engagement ends.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Designs and delivers secure, scalable Azure infrastructure and cloud solutions for customers. Leads architecture sessions, migration and modernization initiatives, AI workload enablement, proofs of concept, and production milestones. Partners with technical and sales teams, resolves blockers, improves resiliency and performance, develops repeatable solutions, and drives customer adoption and business value. Requires strong customer-facing consulting, cloud architecture, technical project, and certification experience.