Member of Technical Staff - Engineering I [Bellevue]

Required

• Undergraduate in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience. Master's or PhD degree preferred.
• Demonstrated hands-on industry experience delivering complex work independently in the design, building, deploying, and operating production AI systems used by enterprise customers.
• Proven experience in the development and launch of AI-powered products, platforms, or capabilities that achieved meaningful customer adoption, business impact, or industry recognition, including experience building scalable, maintainable, and production-ready systems. Must have sound technical judgment that colleagues can rely upon.
• Experience building core AI platforms, infrastructure, agentic systems, model customization pipelines, or large-scale AI applications, rather than solely consuming or integrating third-party AI products and services.
• Hands-on expertise with modern AI technologies, including at least four of the following: o Agentic systems and agent orchestration o Retrieval-Augmented Generation (RAG) o Model customization, tuning, and optimization o Large Language Models (LLMs) o AI infrastructure and inference systems o Data processing and knowledge pipelines o Agent protocols and multi-agent architectures
• Demonstrated ability to make architectural and implementation decisions that balance performance, scalability, reliability, cost, and customer requirements.
• Experience troubleshooting, optimizing, and operating complex AI systems in production environments.
• Demonstrated understanding of Natural Language Processing (NLP), modern AI application architectures, and large-scale distributed systems.
• Experience deploying and operating AI workloads on cloud platforms.
• Proven ability to translate advanced AI techniques into practical customer-facing solutions.
• Experience mentoring engineers, leading technical discussions, conducting design reviews, or influencing technical direction across teams.
• Strong problem-solving, analytical, communication, and collaboration skills.