Top AI Jobs in Seattle, WA

Two-year, early-talent R&D rotational program with four six-month rotations across pharmaceutical R&D disciplines. Associates complete lab and non-lab projects (assay development, chemistry, single-cell/spatial transcriptomics, clinical trial design, AI/computational biology, regulatory and data analytics), receive mentorship, and develop technical and business skills toward a pharmaceutical career.

The role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

Lead research and development of LLM and generative AI solutions, design scalable real-time ML models, define priorities and metrics for deep learning and RAG, promote Responsible AI best practices, and drive adoption of new methods across teams.

Lead and scale a sales team targeting AI startups and digital-native companies to drive new logo acquisition and expansion. Own revenue targets, recruit and coach sellers, position Cloudflare products (Workers AI, R2, network security) to technical buyers, and partner with Product, Growth, and Marketing to convert self-serve developer usage into enterprise deals. Act as executive sponsor for startup and VC relationships and operate at the intersection of PLG and top-down enterprise sales.

Lead design and build of an AI Agents marketplace to improve developer experience. Provide technical leadership, drive architecture and operational excellence, collaborate with stakeholders, own full SDLC, and mentor engineers.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and basic agents. Translate customer problems into deployable solutions, instrument usage and outcomes, evaluate AI output for security/privacy/quality, engage with customers to find automation opportunities, and document prompts, patterns, and approaches for the team.

Use AI coding agents to build end-to-end applications, automations, and basic agents. Translate customer needs into deployed solutions, instrument and iterate on outcomes, evaluate AI output for security/privacy/quality, engage with customers, and document prompts and patterns for the team.

Use AI coding agents to build end-to-end applications, automations, and basic agents. Translate customer needs into deployed solutions, instrument and iterate on outcomes, evaluate AI output for security/privacy/quality, engage with customers, and document prompts and patterns.

Lead AI strategy and delivery for GREF, managing complex AI/ML programs, data platform deployments, MLOps, governance, change management, vendor coordination, and executive reporting across cross-functional teams.

Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

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 Senior Counsel will lead privacy compliance for Mastercard's Identity Solutions, develop data protection strategies, and advise on legal developments while supporting business teams.

Lead hands-on prototyping and productionization of AI-powered traveler experiences. Define reusable AI patterns, evaluate frontier models, partner with engineering/design/data science, set metrics and experimentation, ensure guardrails and quality, and share playbooks across the company.

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.

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.

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.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

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.

The Senior Staff AI Builder will lead multi-squad technical areas, enhance AI strategies, mentor builders, and address systemic issues in healthcare communications.

Lead identification, prioritization, prototyping, and handoff of AI use cases. Conduct stakeholder discovery, define KPIs and success criteria, build/coordinate prototypes, support MLOps transition, and drive adoption while ensuring responsible AI, privacy, and ROI measurement.