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Nordstrom is investing in AI as a core driver of retail innovation, and the AI Agentic Solutions team is the pillar responsible for taking that investment from idea to impact. We define the “art of the possible” with agents — partnering with business and technology teams to identify where agentic AI can meaningfully change how Nordstrom operates, then designing and building those solutions end-to-end across commerce, personalization, inventory, and customer service. Our team sits at the intersection of four disciplines: agent engineering, context engineering, evaluations and guardrails, and memory and state management for agentic solutions.
As an Engineer 2, you are a solid individual contributor with growing ownership over agentic components and features. You're a subject matter expert within your specific piece of the solution, capable of designing the interaction between multiple modules, and comfortable operating with minimal supervision. You'll partner closely with senior engineers to build production agentic workflows and start developing your own point of view on context engineering, evaluations, and agent design.
A Day in the Life- Design and build agentic components with minimal supervision — tool-use integrations, retrieval steps, and orchestration logic — considering how they interact with other modules in the system, writing clear, concise, well-tested code along the way.
- Contribute to context engineering work: helping determine what an agent sees, when, and why, within token, latency, and cost constraints.
- Apply AI fluency to integrate LLM APIs, embedding models, vector stores, and agentic frameworks into production services, and build the evaluations and guardrails — offline benchmarks and online telemetry — that demonstrate those components are safe, reliable, and accurate.
- Participate in on-call rotations, using debugging and profiling tools to resolve issues across the team, and contribute to root-cause analysis on difficult problems.
- Learn to lead work processes and design reviews — including reviewing the work of other engineers — and help teammates think through trade-offs on the pieces you know best.
- Understand how to log events and publish metrics for the systems you own, and model good practices for access control and sensitive data handling.
- Understand business metrics for the team and how your work connects to the wider AI Agentic Solutions roadmap, partnering with business, infrastructure, and security teams to deliver enhancements and bug fixes for production systems.
Must Have
- 2+ years of professional software engineering experience.
- AI Fluency — Required: Hands-on experience working with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.), including some exposure to prompt engineering or retrieval-augmented generation (RAG) patterns.
- Some experience building or contributing to AI agents or agentic workflows — tool-use, orchestration, or integration with downstream systems — whether in production, side projects, or coursework.
- Growing understanding of how to assemble and structure context for agents within token, latency, and cost constraints, and exposure to evaluation or testing practices for LLM-based systems, including offline benchmarks or basic production monitoring.
- Solid CS fundamentals — data structures, algorithms, and object-oriented design — plus at least one production-grade tech stack and working knowledge of cloud-native development on AWS and/or GCP.
- Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, the Claude Agent SDK, or OpenAI Assistants API.
- Strong verbal and written communication skills; comfortable explaining technical work to teammates and cross-functional partners.
Nice to Have
- Experience with RESTful services, event-driven architectures, and backend databases (SQL, NoSQL, or cloud-native datastores).
- Familiarity with containerization technologies (Kubernetes, Docker) and CI/CD practices.
- Interest in building observability into systems — real-time alerting, dashboards, and metrics.
- Background or interest in retail, e-commerce, or supply chain problem spaces.
- Exposure to big data technologies (Spark, BigQuery, Redshift) or integrating ML models into production services.
- Contributions to open-source AI projects or active engagement with the broader AI/ML engineering community.
Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Nordstrom keeps job postings open for at least one day after the posting date.
© 2026 Nordstrom, Inc
Skills Required
- 2+ years of professional software engineering experience.
- Hands-on experience working with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.) including prompt engineering or RAG patterns.
- Experience building or contributing to AI agents or agentic workflows (tool-use, orchestration, integration with downstream systems).
- Understanding of assembling and structuring context for agents within token, latency, and cost constraints; exposure to evaluation/testing practices for LLM systems (offline benchmarks or production monitoring).
- Solid CS fundamentals (data structures, algorithms, object-oriented design) and at least one production-grade tech stack plus cloud-native development experience on AWS and/or GCP.
- Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, Claude Agent SDK, or OpenAI Assistants API.
- Strong verbal and written communication skills; able to explain technical work to teammates and cross-functional partners.
- Experience with RESTful services, event-driven architectures, and backend databases (SQL, NoSQL, cloud-native datastores).
- Familiarity with containerization technologies (Kubernetes, Docker) and CI/CD practices.
- Interest or experience building observability into systems — real-time alerting, dashboards, and metrics.
- Background or interest in retail, e-commerce, or supply chain problem spaces.
- Exposure to big data technologies (Spark, BigQuery, Redshift) or integrating ML models into production services.
- Contributions to open-source AI projects or active engagement with the AI/ML engineering community.
Nordstrom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nordstrom and has not been reviewed or approved by Nordstrom.
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Healthcare Strength — Healthcare options are described as broad, including medical, dental, and vision coverage alongside virtual care and mental health support. Additional protections like disability coverage, life/AD&D, and accounts such as HSA/FSA further strengthen the overall health-and-protection offering.
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Retirement Support — Retirement benefits include a 401(k) plan with a defined employer match structure and access to additional financial programs like an employee stock purchase plan. Commuter accounts, transit subsidies, and adoption assistance add to the overall financial support beyond base pay.
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Leave & Time Off Breadth — Time-away benefits include PTO accrual, paid holidays, bereavement leave, parental and bonding leave, and a sabbatical program after tenure. PTO sharing and donation options expand flexibility in how time off can be used and supported across colleagues.
Nordstrom Insights
What We Do
When you join Nordstrom, you join a fast-paced and entrepreneurial environment is paired with the strong history and experience of the Nordstrom retail legacy. We have access to some of the greatest minds in retail and technology and are constantly creating innovative strategies to develop the ultimate apparel solutions.
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