Top Tech Jobs & Startup Jobs in Seattle, WA

Senior AI Engineer will design and build cloud-native, agentic AI applications and platform patterns on AWS. Responsibilities include backend services (Python/FastAPI, TypeScript/Node), agent orchestration, retrieval and knowledge architectures, CI/CD and IaC, security and observability, and technical leadership to drive MVPs to production within agile AI Accelerator cycles.

Manage the Manufacturing Optimization Analytics team to develop data analytics tools and AI for business operations, enabling effective product development, manufacturing, and distribution decisions. Collaborate with stakeholders to address key business questions and enhance team productivity through standardized methodologies.

As a Senior Data Scientist, you will lead AI product hypotheses and experimentation, working with cross-functional teams to develop and evaluate AI solutions across various company functions. Responsibilities include designing datasets, building analytical features, and measuring product impacts using AWS tools and industry-best practices.

Lead site cyber resiliency for IT and OT supporting pharmaceutical production. Develop and run site-level resiliency programs, assess cyber risks, define RTO/RPO, manage incident response and disaster recovery testing, secure ICS/OT and manufacturing systems, ensure GxP and regulatory readiness, and deliver training and KPIs to site leadership and enterprise security functions.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.

The Senior Manager will drive advanced analytics using data science tools to support business strategy and decision-making in drug development and product launch processes. Responsibilities include building machine learning models, ensuring coding best practices, and collaborating with business leaders to provide data-driven insights.