Top AI Jobs in Seattle, WA

Use AI coding agents to build end-to-end applications, automations, and basic agents. Translate customer needs into deployed solutions, instrument and iterate on outcomes, evaluate AI output for security/privacy/quality, engage with customers, and document prompts and patterns for the team.

Use AI coding agents to build end-to-end applications, automations, and basic agents. Translate customer needs into deployed solutions, instrument and iterate on outcomes, evaluate AI output for security/privacy/quality, engage with customers, and document prompts and patterns.

Lead AI strategy and delivery for GREF, managing complex AI/ML programs, data platform deployments, MLOps, governance, change management, vendor coordination, and executive reporting across cross-functional teams.

Lead product marketing for AI Business Solutions: define launch and integrated campaign strategies across channels, drive brand and advertising, own release playbooks and marketing calendar, measure and optimize performance, partner cross-functionally on channel strategy, and coach a team of product marketers to drive awareness, adoption and revenue.

Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

Lead hands-on prototyping and productionization of AI-powered traveler experiences. Define reusable AI patterns, evaluate frontier models, partner with engineering/design/data science, set metrics and experimentation, ensure guardrails and quality, and share playbooks across the company.

Design, test, and validate scalable readout circuitry for topological qubits; codesign readout with qubit and control teams; analyze and present measurement results; build tools and processes to accelerate quantum research; document work, uphold safety protocols, and collaborate across interdisciplinary teams.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

The Staff AI Product Manager will drive product strategy for GPU offerings, conduct market analysis, collaborate with teams for product development, and advocate for customer needs. Responsible for managing product lifecycle and utilizing data-driven approaches for product success.

Design, build, and operate autonomous infrastructure AI agents on Airwallex's Quartermaster platform to automate SRE, DevOps, and DBA workflows. Integrate agents with Kubernetes, Terraform, cloud APIs, monitoring, databases, and CI/CD. Define agent architecture, safety guardrails, evaluation metrics, and collaborate with SRE and platform teams to deploy reliable, auditable autonomous systems in production.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

Lead Headway's AI platform vision and roadmap, own the internal assistant Eddy, write evals and prompts, configure agents and integrations, and partner with CX, Ops, Sales, Finance, and Clinical teams to identify high-value AI workflows and drive adoption across the company.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

The Senior Staff AI Builder will lead multi-squad technical areas, enhance AI strategies, mentor builders, and address systemic issues in healthcare communications.

Part-time retail sales role demonstrating HP premium PCs and accessories at a big-box store. Engage customers, train store associates, maintain demo stations and merchandising, report sales and competitive insights, meet monthly sales goals, and ensure accurate paperwork and customer satisfaction.

Lead product vision and roadmap for AI-powered assistance and automation used by Microsoft employees. Gather user insights, prioritize opportunities, define requirements, and partner across M365, Power Platform, engineering, design, and research to deliver secure, scalable experiences. Measure impact, communicate results to leadership, and mentor product peers.

Lead identification, prioritization, prototyping, and handoff of AI use cases. Conduct stakeholder discovery, define KPIs and success criteria, build/coordinate prototypes, support MLOps transition, and drive adoption while ensuring responsible AI, privacy, and ROI measurement.

Lead credit risk management for trade accounts receivable and financing receivables. Build risk models and data-driven solutions, approve credit-related transactions, partner with Treasury and business stakeholders to enable compliant revenue growth, drive automation and AI/ML initiatives, ensure financial compliance and audit readiness, and advise on macroeconomic and geopolitical risk impacts.

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.