Senior AI Platform Engineer - Scale & Secure GenAI

Nordstrom, Inc.; Seattle (WA); On-site; USD 142,000 - 221,000; Full time

Benefits offered by this job

Medical/Vision, Dental, Retirement and

Life Insurance and Disability

Merchandise Discount and EAP Resources

Job summary

Nordstrom, Inc. seeks a Senior Engineer on the AI Enablement team to design and deliver AI platform capabilities for Generative AI at scale. You’ll mentor engineers, break down work, and shape the technical direction to improve developer productivity and business outcomes.

You will lead platform development across Kubernetes and AWS, collaborate with product managers and data scientists, and ensure secure, scalable systems while upholding quality and observability standards.

Qualifications

• 4+ years of professional software engineering experience.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent industry experience.

Responsibilities

• Design AI platform solutions that integrate with developer tools, cloud services, LLM providers, and observability systems.
• Own systems and designs that span multiple engineers' work and break complex problems into smaller tasks for team members.
• Make technical trade-offs between short-term needs and long-term business objectives across design, component choice, databases, and systems.
• Champion new techniques and best practices across the organization.
• Describe system interactions and direct dependencies in detail.

Skills

Python

Kubernetes

AWS Cloud

AI/ML concepts

System design

Problem solving

Education

Bachelor's or Master's in Computer Science or related field

Job description

Nordstrom, Inc. seeks a Senior Engineer on the AI Enablement team to design and deliver AI platform capabilities for Generative AI at scale. You’ll mentor engineers, break down work, and shape the technical direction to improve developer productivity and business outcomes.

You will lead platform development across Kubernetes and AWS, collaborate with product managers and data scientists, and ensure secure, scalable systems while upholding quality and observability standards.