Senior AI Studio Engineer — Production Delivery

Amgen; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Amgen is seeking a Senior Forward Deployed Engineer for AI Studio within the Information Systems group in the United States. You will lead and deliver complex AI, automation, and GenAI initiatives, coordinating with data science, engineering, and business teams to produce production-ready solutions.

You will own end-to-end delivery across discovery, design, build, and deployment, ensuring governance, security, and measurable value while maintaining technical continuity across the lifecycle.

Qualifications

• PhD/MD/DS with strong CS focus and AI delivery experience.
• Experience delivering enterprise AI/ML solutions with governance and security.

Responsibilities

• Lead discovery by clarifying business workflow, value hypothesis, and data readiness.
• Translate complex problems into executable solution designs and delivery plans.
• Build or contribute to critical production components for AI-enabled applications.
• Define and maintain integrated architecture across apps, data and knowledge pipelines.
• Coordinate delivery across full-stack engineering, data science, ML and operations.
• Establish testing, evaluation, and governance with release thresholds.
• Coordinate production readiness through CI/CD and monitoring.
• Communicate risks, trade-offs and status to stakeholders.

Skills

Python

SQL

Leadership

Communication

Problem solving

Collaboration

Cloud

MLOps

Education

Doctorate in CS/IT or related

Master's in CS/IT or related

Bachelor's in CS/IT or related

Diploma 12–14 yrs experience

Tools

AWS

Bedrock

SageMaker

Databricks

Kubernetes

Spark

Job description

Amgen is seeking a Senior Forward Deployed Engineer for AI Studio within the Information Systems group in the United States. You will lead and deliver complex AI, automation, and GenAI initiatives, coordinating with data science, engineering, and business teams to produce production-ready solutions.

You will own end-to-end delivery across discovery, design, build, and deployment, ensuring governance, security, and measurable value while maintaining technical continuity across the lifecycle.