Top AI Ethics Jobs in Seattle, WA

Lead Boeing’s enterprise AI governance program by designing intake, review, risk-tiering, approval, and escalation workflows. Develop AI policies, standards, documentation, training, metrics, and executive reporting. Conduct AI risk assessments, evaluate vendor and generative AI systems, monitor regulatory requirements, and coordinate with engineering, legal, compliance, cybersecurity, and business stakeholders to ensure responsible, auditable AI adoption.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Lead ownership of reliability, evaluation, and safety for an AI copilot in a trading platform. Build eval systems, benchmarks, automated quality gates, monitoring, and model improvement loops; partner with engineering and product to define safe tool contracts and ensure predictable, auditable assistant behavior in trading workflows.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

Lead design and operation of evaluation systems to measure Copilot model quality, safety, and task success. Define gate criteria, run offline and live evals, ingest user feedback into eval pipelines, and partner with research, engineering, and Responsible AI to decide ship/no-ship and prioritize fixes.

Build and embed application security across WRITER's AI platform: threat model LLM architectures, implement SAST/DAST in CI/CD, lead security assessments and pentests, design controls for data pipelines and training environments, automate developer-facing security libraries, and research AI/ML-specific threats.

Lead a team that builds a frictionless enterprise AI intake, enablement, and governance experience. Design self-service standards, streamline routing and adoption, remove blockers, form cross-functional partnerships, mentor staff, and present executive-level findings to accelerate safe AI deployment across the company.