Hybrid Principal AI Architect for Auto Finance Reporting

Nordstrom, Inc.; Seattle (WA); Hybrid; USD 166,000 - 258,000; Full time

Benefits offered by this job

Medical/Vision

Dental

Retirement plan

Paid Time Off

Merchandise Discount

Job summary

Nordstrom, Inc. is seeking a Principal AI Architect to design and personally build an AI-driven financial reporting infrastructure. The role emphasizes hands-on engineering, not just strategy, and requires creating prompts, agents, and data pipelines to enable autopilot-like reporting.

The position is hybrid, based in downtown Seattle, WA, four days in the office per week. You will own architecture standards, select AI tooling, and partner with Finance and Data teams to ensure governance and

Qualifications

• 8+ years software/data engineering or applied AI/ML experience with production AI systems.
• Hands-on expertise with modern AI architectures, LLM apps, and prompt/context engineering.
• Experience with financial reporting concepts and controls (close process, GAAP-adjacent reporting).

Responsibilities

• Architect and build end-to-end AI infrastructure for automated financial reporting, including agent orchestration, data pipelines, and model integration.
• Ensure reliability, auditability, traceability, and controls in finance reporting.
• Prototype and ship production-grade AI agents and pipelines rather than only designs.

Skills

AI architectures

Agent orchestration

Data pipelines

Stakeholder communication

BigQuery

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

LLM APIs

Airflow

Databricks

Job description

Nordstrom, Inc. is seeking a Principal AI Architect to design and personally build an AI-driven financial reporting infrastructure. The role emphasizes hands-on engineering, not just strategy, and requires creating prompts, agents, and data pipelines to enable autopilot-like reporting.

The position is hybrid, based in downtown Seattle, WA, four days in the office per week. You will own architecture standards, select AI tooling, and partner with Finance and Data teams to ensure governance and