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Principal Engineer - Agentic AI Platform; Hybrid - Seattle,WA)

Job in Seattle, King County, Washington, 98127, USA
Listing for: Nordstrom, Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 191000 - 297000 USD Yearly USD 191000.00 297000.00 YEAR
Job Description & How to Apply Below
Position: Principal Engineer - Agentic AI Platform (Hybrid - Seattle,WA)
Job Description

About the Role

Nordstrom is building the next generation of AI-powered retail experiences, and the AI Agentic Platform is at the heart of that transformation. We are looking for a visionary Principal Engineer to lead the design, architecture, and development of a foundational platform that enables AI agents to autonomously reason, act, and collaborate across Nordstrom’s technology ecosystem.

As a Principal Engineer (Level 19), you are a functional expert and advisory individual contributor responsible forworkacross multiple teams. You willestablishdesign principles, drive cross-team technical strategy with a time horizon of up to one year, and serve as the primary escalation point for complex engineering challenges in the AI Agentic Platform domain. Your work will directly shape how Nordstromleveragesautonomous AI to enhance customer experiences, streamline operations, and accelerate engineering productivity.

A Day in the Life

  • Architect and evolve the AI Agentic Platform — defining the foundational layers for agent orchestration, tool use, memory, and multi-agent coordination at Nordstrom scale.
  • Partner with AI/ML and product teams to translate business goals into platform capabilities that enable autonomous agent workflows across commerce, inventory, and customer experience domains.
  • Lead cross-team design reviews,establish platform engineering standards, and create reusable architecture artifacts that accelerate delivery across the organization.
  • Apply deep AI fluency to evaluate and integrate LLM APIs, vector stores, RAG patterns, and emerging agentic frameworks (e.g.,Lang Graph,Auto Gen, OpenAI Assistants API, Semantic Kernel).
  • Mentor and coach engineers across teams;serve as the technical escalation point for complex agentic system issues and significant operational incidents.
  • Drive decisions on platform observability, evaluation, and guardrails — ensuring agents behave reliably, safely, and within business policy constraints.
  • Hands-on POC development for novel agentic patterns to prove viability and inform broader team adoption.
  • Collaborate with senior technology and business leaders to articulate trade-offs, influence roadmaps, and align platform strategy with Nordstrom’s long-term AI vision.
  • Contribute to Nordstrom-wide engineering standards, open-source initiatives, and the broader AI engineering community.

You Own This If You Have…

Must Have

  • 10+ years of professional software engineering experience, witha track recordof designing and delivering large-scale distributed platforms.
  • AI Fluency —

    Required:

    Deep, hands-on experience with LLMs, foundation model APIs (OpenAI, Anthropic, Google, etc.), prompt engineering, RAG architectures, and embedding-based search in production environments.
  • Platform engineering in AI teams — You have built or significantly contributed to shared AI infrastructure or developer platforms within an AI-focused product organization, enabling multiple teams to build on top of your foundation.
  • Strongproficiencyin Python and/or Java; experienced with cloud-native development on AWS and/or GCP.
  • Expertisearchitecting complex, scalable distributed systems — microservices, event-driven architectures, API gateways, and data pipelines.
  • Highly skilled at applying architectural patterns to express complex, scalable systems thatoptimize forsimplicity, operational support, andimplementationvelocity.
  • Demonstrated experience influencing senior technical and business leaders, with the ability to clearly articulate engineering trade-offs and drive cross-team decisions.
  • Strong Dev Opsfoundation— CI/CD (Git Lab or equivalent), containerization (Kubernetes/Docker), observability and telemetry, and SLA-driven reliability engineering.
  • Experience with Agile methodologies, continuous…
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