Top AI Jobs in Seattle, WA

Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

Evaluate and validate AI Coach chat outputs for accuracy and risk, act as subject-matter expert in personal financial planning, identify enhancements, escalate issues to Ops/Product/Compliance, and contribute reusable solution libraries to improve member experience.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead design and implementation of agentic AI workflows and integrations for Acquia DAM. Build, ship, and observe production AI features (auto-tagging, search, governance), set AI engineering standards, evaluate models and tooling, mentor engineers, and represent AI architecture to product and customers.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The Young Investigator in Robotics will focus on developing and applying AI methods in robotics, including manipulation, skill learning, and sim-to-real transfer while individually pursuing independent research.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

The AI Solutions Architect will drive AI initiatives, partner with departments for integration, lead tool discovery, establish governance, and advocate for AI adoption across the company.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

Lead Grow's AI Enablement team to define and execute the company-wide AI roadmap. Build and operate core AI infrastructure (data pipelines, embeddings, retrieval, model access, connectors, and governance) with PHI compliance. Architect integrations and APIs enabling agentic workflows, drive delivery of high-priority LLM and AI-assisted care use cases, and manage vendor governance, procurement, and cross-functional alignment.

The AI Solutions Delivery Architect will design and implement AI-based solutions, aligning with business strategies to optimize transformation. This role includes evaluating AI platforms, leading AI deployments, and ensuring effective adoption strategies across teams.

The AI Workflow Architect will identify automation opportunities, design AI workflows, build prototypes, and ensure seamless integration into production while engaging with business leaders across functions for operational efficiency.

The AI Executive Partner will advise C-Suite executives on leveraging AI to drive business outcomes, manage member relationships, and deliver innovative AI solutions.

Lead a global UX research team focused on developer experiences for AI and developer platforms. Set research vision and operating model, mentor researchers, run qualitative and quantitative studies across tools, GUIs, CLIs, APIs and runtimes, and translate insights into product strategy by partnering with product, engineering, design, ecosystem and business stakeholders.