Top Tech Jobs & Startup Jobs in Seattle, WA

Lead AI and security strategy with enterprise customers, drive Microsoft business growth and partner co-sell, influence technical teams on architecture and migration, deliver industry briefings, enable customer readiness, and act as a trusted technology advisor to achieve business outcomes and account growth.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.

Design, curate, and evaluate large-scale text datasets for LLM pretraining. Build scalable ingestion, preprocessing, filtering, annotation pipelines; run data ablations and analyses; create auditing, visualization, and versioning tools; and collaborate with Safety, Ethics, and Governance to ensure dataset quality, privacy, and responsible AI alignment.

Design, implement, and optimize distributed pre-training infrastructure for large-scale GPU clusters. Profile, benchmark, and debug compute, memory, networking, and storage bottlenecks; optimize communication libraries and GPU programming stacks; collaborate with hardware and model teams to scale training, ensure reliability, and influence architecture and roadmap.

Lead end-to-end data science and AI engagements: design, develop, deploy and evaluate models, mentor teams, partner with stakeholders, drive adoption, and apply Responsible AI to deliver measurable business impact.

Build and optimize inference systems and tools for generative AI models, collaborate with researchers to improve performance, profiling, debugging, and deploy large-scale distributed inference solutions.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Design and build evaluation infrastructure for generative AI on large GPU clusters. Develop and tune pretraining software, benchmark NVIDIA and AMD GPU clusters, collaborate with model scientists, implement evaluation methods and inference strategies, and inform compute roadmap and architectural decisions to support Copilot and consumer AI products.

Lead product efforts for Azure HPC & AI supercomputers by engaging customers, prioritizing backlog from telemetry and incidents, partnering with SREs and engineers to improve service health, build deployment strategies, and deliver AI-driven product improvements with security-by-default.

Lead customer engagements to qualify and close cloud and AI opportunities on Azure. Drive sales strategy, pipeline hygiene, partner co-sell, and AI-driven forecasting. Collaborate across account teams, enable customer adoption and consumption, and act as trusted advisor to accelerate AI and cloud transformations.