Senior AI Engineer

Sourced from careers.amgen.com

Amgen is seeking a Senior AI Engineer to serve as the senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. You will design core services, infrastructure, and governance controls that enable hundreds of practitioners to prototype, deploy, and monitor models securely and cost-effectively. Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance, and Product teams to deliver an enterprise-grade AI developer experience.

• Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration, and automated promotion—using Kubeflow, SageMaker Pipelines, OpenAI SDK, or equivalent MLOps stacks.
• Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC, or event-driven APIs.
• Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines, or business-logic layers.
• Optimize performance and cost at scale—selecting appropriate algorithms, applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet SLA targets.
• Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection, and user-behavior analytics.