Senior AI Architect Finance

Nordstrom

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$166,000–$258,000 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $212k
$139k $271k
below market most similar roles pay here above market

This role pays more than 69% of similar roles. Most pay $161,991–$221,300 — the blue band above. At the midpoint, this role pays about $212k versus about $192k for comparable roles.

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 70 open roles on FindRole.

Listed pay typically runs $166,000–$258,000 across 22 roles with salary data.

Most-posted roles

View all roles at Nordstrom

At a glance

TL;DR · Senior AI Architect Finance

The Sr. AI Architect Finance joins the Nordstrom Finance team to design and personally build an AI-driven reporting infrastructure. This hands-on role involves creating 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, traceability, and auditability. Key responsibilities include prototyping production-grade AI agents, setting technical standards, and partnering with Finance leaders to automate workflows. Required skills include expertise in LLM application design, retrieval-augmented generation, prompt engineering, and data engineering fundamentals using tools like BigQuery. You must navigate complex financial reporting concepts, including close processes and GAAP-adjacent requirements, while building guardrails against model hallucinations and drift to ensure accurate financial compliance.

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, reconciliation, and variance analysis.
  • Establish architecture standards and best practices for applied AI within the Finance Technology department.
  • Evaluate and select AI/ML tools, models, and platforms based on specific Finance use cases and tech stack requirements.
  • 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 classification and audit requirements.
  • Build guardrails against model hallucinations and errors to ensure reporting accuracy and regulatory compliance.
  • 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/workflow frameworks, retrieval-augmented generation, and prompt/context engineering.
  • Strong data engineering fundamentals including 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 close processes and variance analysis.
  • Proven track record of operating as a technical architect and an individual contributor simultaneously.
  • 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 in a related field (preferred).

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