Top AI Jobs in Seattle, WA

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

The Associate Technical Product Manager analyzes data for product optimization, collaborates with teams, and implements improvements using modern data techniques.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

As Senior Counsel, you will support Product and Engineering teams with regulatory guidance in health technology. Responsibilities include translating regulations into actionable guidance and helping develop compliance strategies.

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.

Lead strategy and delivery of an AI-native internal platform that unifies tools, data, and services. Define roadmap, partner with engineering/AI/data teams, operationalize safety and evaluation, deploy compliance automation, measure platform success, and drive cross-functional alignment to scale AI use cases across the company.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

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

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

In this role, you will develop and maintain CI/CD pipelines, collaborate across teams to implement best practices, and troubleshoot deployment issues in a hybrid work setting.

Design and maintain scalable authentication and authorization services. Implement identity protocols and ensure secure user access for the AIDR platform.

The Data Engineer will design, build, and support data pipelines, assist with data management, monitor data quality, and collaborate on analytics solutions.

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.

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.

Manage AI governance frameworks, conduct risk assessments, mentor team members, and evaluate third-party risks while adapting to AI regulatory changes.

The role involves utilizing advanced analytics to extract insights from data, develop AI/GenAI solutions, and manage cross-functional teams while building relationships with clients.

Lead architectural strategy for migrating applications to AWS, assess cloud readiness, enhance team skills in AI-native engineering, and ensure successful implementation of migration projects while mentoring staff and managing performance.

As a Director in the Customer Experience Transformation team, you will oversee CCaaS projects, manage teams, drive business development, and implement AI solutions to enhance customer interactions.

The role involves leading AI operations, managing incidents, mentoring junior staff, and ensuring operational excellence within managed services delivery while building client relationships.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead modernization and cloud transformation of applications to AWS, establish AI-native engineering strategies, and mentor engineering teams on full-stack development using modern frameworks.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.