Artificial Intelligence Jobs in Bellevue, WA

Design and build scalable, secure infrastructure and core clean-room features for multi-party data collaboration. Implement developer APIs, AI-enabled capabilities and agents, partner with product and cross-functional teams to deliver production systems, and mentor peers to ensure technical excellence and privacy-preserving analytics.

Lead enterprise AI programs, mentor engineers, define quality metrics, and deliver scalable AI solutions while collaborating across teams and advising stakeholders.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.

Design and scale AI-driven GTM workflows that integrate conversational intelligence into Salesforce. Translate unstructured conversational data and LLM outputs into executive revenue intelligence, validate pipeline health, automate GTM handoffs, optimize CI/AI tech stack, and partner with TDI and GTM leadership to operationalize AI across the customer lifecycle.

Lead go-to-market strategy for Tanium Atlas and AI-powered automation and governance within the Autonomous IT platform. Define positioning and messaging, engage customers and market to inform product direction, create high-impact content and sales enablement, drive launches and competitive intelligence, and collaborate cross-functionally to increase awareness and adoption.

This role involves owning aspects of data lifecycle for Auger's Supply Chain operating system, including schema design and data processing using AI and SQL.

Lead AI product strategy and execution across Creative, Audience, and Outcomes products. Identify and prototype generative AI and agentic solutions, build and scale AI teams, define architectures and MLOps, embed responsible AI and governance, and partner with product, engineering, and commercial teams to deliver measurable customer and revenue outcomes.

Lead architecture and technical strategy for production AI systems: prototype solutions, build reference implementations, define observability/evaluation/governance standards, bridge Applied AI and enterprise architecture, design integrations and cloud-native patterns, mentor engineers, and influence portfolio and partner decisions in a regulated healthcare environment.

Lead execution of AI product roadmaps by translating business needs into sprint-ready AI requirements, managing backlogs, coordinating cross-functional teams, tracking AI metrics, and ensuring responsible AI governance and ethical implementation throughout the product lifecycle.