Top AI Engineer Jobs in Seattle, WA

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

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

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 an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The Developer Relations Engineer will enhance on-device AI by enabling developers to run AI models efficiently on Arm platforms. Responsibilities include creating optimization techniques, maintaining implementation references, developing guides, and engaging with the developer community.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Senior AI Software Engineer will design and build secure systems for high value senders, focusing on trust and reliability in financial transactions. Responsibilities include technical design, system architecture, team mentoring, and using AI tools to enhance software delivery.

As a Senior Full-Stack Engineer II at DigitalOcean, you'll lead and build AI application services, collaborating on design and operational excellence while maintaining APIs and working with ML platforms.

The AI Engineer will develop AI-driven systems, maintain backend services, and support AI applications integration with grid data platforms.

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.

The Principal AI Engineer will drive the development of AI-driven systems for personalized travel experiences, lead technical architecture, mentor engineers, and ensure quality in large-scale data processing.

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

The GTM AI Engineer will build and operate AI-powered infrastructure for the company's marketing and sales, manage CRM automation, and design workflows to enhance team effectiveness.

The Senior Data & AI Developer will build AI tools, maintain analytics dashboards, and oversee data architecture, ensuring effective data use across the firm.

The Senior Software Engineer will provide technical leadership, build and scale AI/ML systems, maintain APIs, and collaborate on design while independently shipping product features.

As an AI Engineer, you'll design and build LLM-powered applications and agentic systems, ensuring quality, safety, and effective user feedback. Involved in client discovery and technical communication, collaborating within agile teams to develop solutions.

The AI Engineer IV will lead the development and implementation of AI systems, influence architecture decisions, mentor team members, and ensure best practices in a hybrid work environment.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

Drive the design and development of AI and ML solutions for member growth, leading technical architecture and mentoring engineers while focusing on advanced personalization and collaboration across teams.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.