Top Tech Jobs & Startup Jobs in Seattle, WA

Develops and deploys AI and LLM-driven features for Microsoft 365 Copilot, including model evaluation, metrics, experimentation, retrieval-augmented generation, prompting, and agentic system optimization. The role prototypes scalable AI applications using Azure AI Foundry and LangChain, diagnoses model issues, and supports improvements to deep learning, NLP, and multimodal systems.

Build and maintain secure, reusable Azure platform infrastructure using Terraform and programmatic IaC frameworks. Consult with engineering teams on cloud architecture, cost, security, and governance. Develop AI agents, MCP integrations, self-service tooling, CI/CD pipelines, observability solutions, and deployment automation. Drive compliance remediation across teams, manage scalable globally distributed systems, document technical concepts, and contribute to platform strategy and technical direction.

Provide hands-on technical leadership for secure cloud infrastructure, workspaces, trusted data access, and AI-agent execution. Design and ship production cloud services with strong identity, policy enforcement, security, reliability, and auditability. Investigate critical security issues, translate findings into production systems, define technical vision and roadmaps, collaborate across teams, and mentor engineers and researchers.

Provides executive administrative support through calendar and meeting management, travel coordination, event logistics, cross-functional communication, budget and expense tracking, space planning, onboarding, headcount administration, and project ownership. The role supports senior leaders, manages confidential information, coordinates vendors and stakeholders, improves business processes, and mentors other business support staff.

Leads strategic product and technical initiatives across M365 and Copilot infrastructure, including storage, performance, capacity, fleet management, and LLM platforms. Develops architecture and investment strategies, uses telemetry and AI-driven analysis to guide decisions, improves scalability, reliability, utilization, and efficiency, and aligns engineering and product organizations around high-impact initiatives. Mentors product managers and communicates complex technical and economic tradeoffs to senior leadership.

Owns system architecture for AI accelerator rack- and cluster-scale platforms. Defines requirements, specifications, and proof-of-concepts; evaluates architecture options using performance simulations and hardware models; makes tradeoffs across performance, total cost, networking, memory, storage, power, cooling, and datacenter constraints. Drives alignment among engineering and leadership teams, influences vendor roadmaps, and participates in industry standards development.

Conduct security research focused on next-generation intrusion and anomaly detection. Analyze large-scale security event data, develop machine learning and statistical models, and design scalable, low-latency analytics platforms using streaming, graph-based, and representation-learning techniques. Collaborate with researchers, product teams, and engineers to transition concepts into deployed systems, while publishing and presenting findings in leading security, systems, and data-management venues.

Lead a team building automated systems and tools to discover, explain, and remediate vulnerabilities in native Windows code. Develop scalable detection methods, enable automated security testing for developers, collaborate with product teams, and drive team clarity and execution.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Leads pre-silicon verification for complex chip IP, subsystems, and blocks. Develops UVM-based environments, test plans, simulations, random stimulus, coverage strategies, checkers, and debugging workflows. Drives verification closure across product cycles, improves methodologies and tools, applies generative AI, and mentors engineers. The role requires collaboration with design teams and expertise in protocols such as CHI, AMBA, AXI, PCIe, and CXL.