AI Architect, Finance

Nordstrom

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Employment
Full-time
Posted
21 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $200k
$142k $249k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $168,562–$231,550.

Based on 240 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 60 open roles on FindRole.

Listed pay typically runs $166,000–$258,000 across 23 roles with salary data.

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At a glance

TL;DR · AI Architect, Finance

The Principal AI Architect joins the Nordstrom Finance team to design and personally build an AI-driven reporting infrastructure. This hands-on role involves developing an autopilot model for financial reporting by automating routine tasks like reconciliation, variance analysis, and narrative generation. You will build end-to-end infrastructure including agent orchestration, data pipelines, and model integrations while ensuring reliability and auditability. Key responsibilities include writing code, prompts, and workflow orchestrations, as well as setting technical standards and mentoring engineers. You will utilize LLM APIs, retrieval-augmented generation, and prompt engineering alongside data tools like BigQuery. The work focuses on solving complex financial reporting problems by integrating AI with controls, data governance, and security requirements to ensure accuracy and compliance within a high-stakes corporate finance environment.

What you'll do

  • Design and build end-to-end AI infrastructure for automated financial reporting, including agent orchestration and data pipelines.
  • Write production-grade code, prompts, and retrieval systems to automate routine reporting and variance analysis.
  • Establish architecture standards and best practices for applied AI within the Finance Technology department.
  • Partner with Finance leaders to map current workflows and identify specific processes for automation.
  • Collaborate with Data Governance and Security teams to ensure AI pipelines meet audit and classification requirements.
  • Build guardrails against model hallucinations and drift to ensure financial reporting accuracy and compliance.
  • Evaluate and select AI/ML tools and models based on specific Finance use cases and existing tech stacks.
  • Mentor engineers on technical standards and translate complex AI concepts for non-technical Finance stakeholders.

What we're looking for

  • 8+ years of software/data engineering or applied AI/ML experience, including production experience building and deploying AI systems.
  • Deep, hands-on expertise with LLM application design, agent orchestration, retrieval-augmented generation, and prompt/context engineering.
  • Strong data engineering fundamentals in pipeline design, data quality, and integration with enterprise data platforms like BigQuery.
  • Direct experience with, or ability to quickly learn, financial reporting concepts and controls such as reconciliation and variance analysis.
  • Proven track record of operating simultaneously as a technical architect and an individual contributor.
  • Excellent stakeholder communication skills to translate technical AI concepts for Finance leaders and vice versa.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Advanced degree (preferred).

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