Top AI Jobs in Seattle, WA

Provide full-stack product legal counsel across the product lifecycle for cloud and AI offerings. Advise on privacy, security, IP, open-source, export control, and AI regulation; draft and negotiate commercial and data protection agreements; support incident response and regulatory matters; and build scalable legal playbooks, templates, and automation to empower Product, Engineering, and GTM teams.

Lead enterprise strategy and hands-on delivery of AI-enabled solutions across clinical development. Partner with clinical, biostatistics, data science, regulatory, and digital teams to design, validate, deploy, and govern AI/ML, generative and agentic AI, predictive analytics, and workflow automation to improve trial design, operations, regulatory readiness, and decision-making. Build cross-functional teams, engage regulators and external partners, and drive organizational adoption and governance.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.

Shape firmwide cloud and infrastructure strategy; build and influence vendor and venture relationships; drive innovation, pilot and scale new technologies; collaborate with senior stakeholders; support client-facing business development and strategic investments.

Lead firmwide technology strategy for Data & AI, build partnerships with cloud and infrastructure vendors and the venture ecosystem, drive innovation adoption, evaluate and scale new technologies, raise internal awareness of Data & AI opportunities, support client-facing business development and strategic investments, and influence senior stakeholders to align partner roadmaps with JPMC objectives.

Lead product strategy and execution for mission-focused software by engaging customers, guiding cross-functional teams, managing risk, improving discovery, mentoring product managers, and supporting business development for national security applications.

Lead AI-first UX design for agentic and conversational experiences: own design system patterns shipped as code, prototype agents with LLM APIs, ensure accessibility (WCAG 2.1 AA), monitor pattern adoption, mentor peers, and deliver rapid end-to-end product designs that balance autonomy, safety, and human‑in‑the‑loop controls.

Lead design and delivery of AI/GenAI solutions and scalable data infrastructure. Drive business development, manage multiple client engagements, mentor teams, implement AI models using Python and C++, ensure data quality, and promote innovation across projects.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

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

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

The Senior Application Security Engineer oversees application security, works on AI threat modeling, and collaborates with engineers to enhance security infrastructure and compliance with regulations.

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.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

The Staff AI Product Manager will drive product strategy for GPU offerings, conduct market analysis, collaborate with teams for product development, and advocate for customer needs. Responsible for managing product lifecycle and utilizing data-driven approaches for product success.

Lead Headway's AI platform vision and roadmap, own the internal assistant Eddy, write evals and prompts, configure agents and integrations, and partner with CX, Ops, Sales, Finance, and Clinical teams to identify high-value AI workflows and drive adoption across the company.

Lead design and implementation of security frameworks for AI systems, performing threat modeling, adversarial defense, secure MLOps, architecture reviews (including MCP and agentic systems), authoring standards and reference architectures, managing large AI security projects, and mentoring cross-functional teams to strengthen AI security posture.

Lead product strategy and lifecycle for AI infrastructure platforms, prioritizing scalability, resiliency, compliance, and customer value. Drive discovery, market research, and backlog management; define KPIs (cost, reliability, risk posture); partner with engineering and cross-functional teams to deliver GPU-enabled model training, inference, and workload scheduling solutions for enterprise clients.

Lead strategy and execution of an AI-native product-led growth motion for ITSM: own the AI customer journey, build telemetry and experimentation, design onboarding and PQL models, partner cross-functionally to drive activation, adoption, expansion, and measurable revenue and lifetime value growth.

Lead end-to-end product for voice protection and conversational AI features serving consumers and telecom operator partners. Define product vision, prioritize roadmap, work closely with engineering and research on model training and prototyping, engage customers to validate needs, support commercial and legal partners, and drive product economics and successful launches.

Design, build, and deploy end-to-end ML solutions for ranking, recommendations, search, and personalization. Develop scalable data pipelines, monitoring, and evaluation frameworks; run A/B tests and collaborate with product, engineering, and analytics to drive data-driven decisions and reliable production models.

Lead architecture and development of production-grade agentic AI and multi-agent systems for reliability engineering. Design autonomous agents, manage AI infrastructure and deployment, ensure observability/security/guardrails, automate remediation, evaluate vendors and models, and produce secure, high-quality production code to improve system reliability and engineering productivity.

Lead design and delivery of reliable, scalable AI/ML platform services. Build production-grade code, reusable APIs/SDKs, observability and resilience tooling, define reliability standards, support on-call incident resolution, and mentor engineers to enable secure, compliant generative AI use cases.

The Senior Staff Software Engineer will lead the architecture and implementation of AI-powered developer tools and workflows in a cloud environment. Responsibilities include mentoring, driving innovation, managing project delivery, and fostering a culture of continuous improvement.