Artificial Intelligence Jobs in Bellevue, WA

Lead T-Mobile's Agentic AI and Forward Deployment Engineering (FDE) practice to embed AI across business units. Build and scale FDE teams, own operating model and vendor relationships (OpenAI, Anthropic, Google), deliver agentic AI production systems, codify reusable patterns into the CoE platform, and report AI-driven business outcomes across back-office and commercial domains.

Build end-to-end GenAI-powered internal applications including web UIs, APIs, and backend orchestration. Integrate LLMs and RAG pipelines, create reusable frontend components, enforce SLOs/observability, ensure security and data governance, and collaborate with product, design, and platform teams to scale AI services.

Lead architecture and implementation of enterprise-scale AI, software, and data platforms for network data. Build cloud-native, distributed systems and reusable AI services (Generative AI, RAG, Agentic AI). Provide technical leadership, evaluate emerging technologies, produce architecture designs, mentor engineers, and remain hands-on contributing to design, implementation, and code reviews to deliver scalable, secure, and highly available AI-powered solutions.

Lead strategy, architecture, and hands-on delivery of production-grade AI and data solutions for Revenue. Build LLM-powered agents, govern models, own data pipelines and MLOps, measure KPIs tied to revenue and efficiency, manage vendors and budget, and embed automation across sales, finance, and customer lifecycle while scaling a lean, production-first team.

The Sr. Enterprise Data & AI Architect will lead architecture transformations for customers, advise executives, and design AI/ML solutions across cloud environments, ensuring data-driven strategies and governance compliance.

Design, build, and deploy production-ready AI solutions across enterprise platforms. Implement LLM workflows (prompt engineering, embeddings, RAG), integrate with enterprise data and SaaS systems, ensure operational readiness (monitoring, logging, performance), and partner with Security, Privacy, IT, and business teams to meet governance and compliance requirements.

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 cross-functional teams to define product vision, features, and requirements; analyze user feedback and market trends; manage backlogs and stakeholders; coordinate engineering, marketing, and sales to launch technical products aligned with business objectives.

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.

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.

Research, design, and implement foundation models for machine-generated and graph data; develop distributed training and inference pipelines; collaborate with engineering and product teams to productionize models; evaluate new AI/ML techniques and drive MLOps, monitoring, and model optimization to improve scalability and reliability.

Design, build, and ship full-stack features on an agentic AI platform, spanning backend APIs, data modeling, and polished React/TypeScript UIs. Develop LLM-backed agent tooling, implement prompt engineering and RAG patterns, orchestrate multi-agent systems, and apply AI-first development practices to deliver secure, production-grade software.

Design, build, and ship full-stack features for an agentic AI platform. Own backend APIs, data models, and responsive React/TypeScript UIs. Implement LLM-backed multi-agent systems, prompt engineering, RAG patterns, and tool/function calling. Collaborate with ML engineers, UX, and product to integrate AI agents into human workflows and ensure production-grade, secure, and observable deployments.

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.

Design and build scalable training and learning platforms for physical AI: representation learning, latent world models, policy/action pipelines, generative simulators, and multimodal reasoning. Lead cross-team technical decisions, productionize research prototypes, and contribute to open research and OSS.

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.

As a Senior Software Engineer, you will design and implement AI/ML tools for game development, collaborating with cross-disciplinary teams to enhance workflows and player experience.

Build developer tooling, demo apps, and integrations that enable secure AI agent experiences for Auth0. Design infrastructure and adapters for LLM APIs and agent runtimes, contribute to open source, write docs, mentor engineers, and lead architecture to ensure resilient, secure agent-to-service communications.

As a Staff AI Engineer on Cortex Code Quality, you will define agent behavior and build quality systems for AI coding agents, leading cross-functional teams and ensuring dependable quality in production.

The role involves owning the AI engineering lifecycle for Cortex Code products, including feature development, context engineering, and collaboration with product and infrastructure teams. Responsibilities include designing evaluations, conducting experiments, and improving AI features.

Design, build, and deploy enterprise AI solutions and agentic systems integrating LLMs with company data and workflows. Develop RAG applications, conversational agents, and Copilot/Claude-based agents; productionize systems with CI/CD, monitoring, and vector DB retrieval. Collaborate with stakeholders, measure impact, and mentor teammates.

Oversee AI governance and compliance, manage AI incident response, and ensure adherence to international laws and ethical standards in AI development.

Owner of search intelligence connecting organic, paid, and AI search performance. Track AI-driven visibility, build unified measurement and reporting, translate data into actionable insights, and advise stakeholders on SEO, paid search, and AI optimization opportunities.

The Senior Product Manager will lead the strategy and execution of AI-powered recruiting products, collaborating with engineering and design teams to enhance user experience and drive product strategy based on user feedback and data analysis.