Top AI Engineer Jobs in Seattle, WA

As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.

Responsible for architecting and developing AI security infrastructure, optimizing performance and scalability of systems, and driving innovation in a collaborative environment.

The Senior GTM Engineer in AI Innovation will strategize and implement AI initiatives across Marketing, Sales, and Customer Success while also leading cross-functional efforts and managing a growing team.

Own and build production-grade integrations between Brex and external AI assistant ecosystems (OpenAI, Claude, Slack, etc.). Define secure, auditable patterns for data/actions, permissions, and UX standards. Ship resilient integrations, partner cross-functionally, and create reusable AI capabilities and standards for external and internal use.

The Lead AI Engineer will develop AI and ML systems with a focus on intelligent decision-making and data pipelines to improve agent performance and continuous learning.

The Solution Architect/AI Engineer IV will design and implement AI solutions, lead prototypes, develop APIs, and ensure system performance in a hybrid environment.

Design and build LLM-powered autonomous agents and orchestrators, develop prompt engineering frameworks, implement safety and oversight, optimize model infrastructure for low latency/high throughput, and create testing and evaluation pipelines for reliable agent behavior.

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.

The Principal AI Engineer will design and build agent harnesses, CI/CD pipelines, and evaluation frameworks for autonomous AI agents. Responsibilities include managing infrastructure, optimizing performance, ensuring security, and facilitating continuous improvement in machine learning initiatives at scale.

Integrate and fine-tune existing AI models into product features, build evaluation frameworks and observability for production AI, collaborate with data science and engineering, and develop AI-powered application features using Python to improve user experience.

The AI Engineer will design and build production systems, focusing on LLM integration, system reliability, evaluation frameworks, and high-quality product features while maintaining strong engineering practices.

Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.

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 and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

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.

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.

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 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.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

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

Lead design, development, and production deployment of large-scale ML and LLM-powered document intelligence products. Build and scale models and services, mentor ML engineering teams, drive model lifecycle, and apply knowledge graphs, GNNs, RAG, and cloud infrastructure to improve contract intelligence and customer experience.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

Lead architecture and delivery of agentic AI infrastructure: multi-agent orchestration, real-time conversational reasoning, retrieval/memory systems, LLM optimization, safety/observability, and secure tool integration. Mentor senior engineers and collaborate cross-functionally to build production-grade autonomous agents for enterprise workflows.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.