Nordstrom
Retail · Department store retailer
Retail · Department store retailer
Nordstrom currently has seven active job listings related to artificial intelligence. The majority of these roles, 57%, are focused on agents. The company is primarily hiring in the United States. Frequent technology tags associated with these positions include agent orchestration, LLM observability, and tool use, suggesting a focus on developing and managing AI agent systems.
Currently tracking 2 active AI roles, down 65% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Nordstrom currently has 6 active AI-related roles in our index. The most common open titles are: Principal Engineer: AI Agentic Platform (Hybrid - Seattle, WA), Senior Data Analyst, Inventory Visibility and Controls (Hybrid, Seattle), Senior Data Scientist – AI & ML | MLOps Enablement (Hybrid – Seattle, WA), Senior Engineer 2: AI Agentic Platform (Hybrid - Seattle, WA), Senior Engineer 2: AI Agentic Solutions (Hybrid - Seattle, WA). Most positions are in Engineering and Product.
Nordstrom's active AI hiring is concentrated in: agents (83%), evaluation (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Nordstrom is hiring AI talent in: United States (6 roles).
Job postings at Nordstrom most frequently reference: agent orchestration, llm observability, tool use, rag, evals.
In the past 30 days, Nordstrom has posted 6 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Data Scientist – AI & ML | MLOps Enablement (Hybrid – Seattle, WA) Senior Data Scientist role focused on MLOps enablement and platform engineering within Nordstrom's Developer Platform organization. The role acts as a bridge between Data Science practice and platform engineering, shaping the ML platform infrastructure and tooling that Data Scientists use. Key responsibilities include validating new platform capabilities, designing the Model Evaluation Framework, building model-type-aware configurations, benchmarking platforms, and contributing to the Vertex AI Agentic Platform. Requires deep expertise in model evaluation, feature stores, ML monitoring, and production model delivery, with a strong preference for GCP/Vertex AI experience. | Eval GateServe | 7 |