Top AI Ethics Jobs in Seattle, WA

Lead AI safety strategies for autonomous vehicles, ensuring compliance with safety standards, mentoring teams, and guiding technical projects in AI/ML development for safety-critical applications.

Customer-facing specialist who analyzes and explains AI runtime security test results (POCs, red-teaming, scanners), diagnoses false positives/negatives, defines risk thresholds, and enables customers and internal teams on prompt/policy tuning, evaluation, and AI risk interpretation.

The Senior Responsible AI Manager will build frameworks for responsible AI, develop governance tools, ensure compliance with regulations, and assist product and engineering teams in ethical AI deployment.

The AI Experience Manager acts as the link between business leaders and technical teams, shaping AI solutions, managing deliveries, ensuring user-centered experiences, and promoting adoption.

The role involves evaluating AI-generated content, providing feedback, and ensuring cultural relevance and quality in various media types as a contractor.

The Senior Manager, Product & AI Policy leads policy development for AI features, collaborating with teams to ensure policies support business objectives and innovation.

The Senior Vice President of AI and Transformation will develop and deliver strategies for integrating AI, analytics, and automation into processes, ensuring they meet regulatory standards. This role involves partnership with leadership to enhance service quality and governance principles for responsible tech use.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

The Enterprise Architect for Data & AI will shape the architecture for the SaaS platform, ensuring efficient data practices and responsible AI governance, while collaborating with various teams to align technology with business goals.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.