A Day in the Life

• Design and build core AI Agentic Platform capabilities including agent orchestration layers, tool-use pipelines, memory systems, and APIs that enable product teams across Nordstrom to deploy AI agents.

• Own end-to-end solution design for platform components spanning multiple engineers work, with full upstream/downstream integration consideration.

• Apply AI fluency to integrate LLM APIs, embedding models, vector stores, and RAG patterns into platform services; evaluate and adopt emerging agentic frameworks asappropriate.

• Make and clearly articulate technical trade-offs between short-term delivery needs and long-term platform scalability, factoring in design,componentchoice, and infrastructure costs.

• Design systems accounting for current and upcoming product cycles, team-level cost responsibility, and alignment with cross-functional roadmaps.

• Lead design and code reviews across the team; provide actionable feedback andmaintaina high bar for quality, testability, and extensibility.

• Design key metrics, events, and observability patterns for platform components; drive accountability for performance and security of feature work.

• Work with business, infrastructure, and security teams to deliver enhancements, reliability improvements, and bug fixes forproductionAI systems.

• Surface potential design or delivery conflicts in the current or upcoming product cycle and make clear recommendations on the best path forward.

• Mentor and support junior engineers across a wide spectrum of technical activities;participatein hiring interviews with clear, specific feedback.

• Ensureownwork and team members work follows Nordstroms engineering and security standards; contribute to those standards.

You Own This If You Have...

Must Have

• 6+ years of professional software engineering experience, with a strongtrack recordof designing and delivering complex, scalable distributed systems.

• AI Fluency Required: Hands-on experience working with LLMs, foundation model APIs (OpenAI, Anthropic, Google, etc.), prompt engineering, retrieval-augmented generation (RAG) architectures, and embedding-based search in production environments.

• Platform engineering in AI teams You have contributed to or built shared AI infrastructure or developer platforms within an AI-focused product organization, enabling other teams to build reliable AI-powered features on top of your foundation.

• Proficiencyin Python and/or Java; strong grasp of multiple tech stacks and cloud-native development on AWS and/or GCP.

• Experience with RESTful services, event-driven architectures, and backend databases (SQL, NoSQL, or cloud-native datastores).

• Familiarity with containerization technologies (Kubernetes, Docker) and modern CI/CD practices and tools (e.g., GitLab).

• Demonstrated ability to design systems spanning multiple weeks or months of work, incorporating a full teams worth of engineers, and balancing short and long-term trade-offs.

• Strong emphasis on building observability into systems real-time alerting, dashboards, metrics, and performance accountability.

• Experience working with cross-functional teams including product, business, infrastructure, and security stakeholders.

• Strong verbal and written communication skills; ability to articulate complex technical decisions to both technical and non-technical audiences.

• Agile development experience (Scrum, Kanban, Lean, or similar) with a continuous improvement and quality mindset.

• Bachelors orMasters degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have

• Hands-on experience building AI Agentic systems designing or deploying autonomous agents using frameworks such asLangGraph,AutoGen,CrewAI, Semantic Kernel, or OpenAI Assistants API.

• Familiarity with multi-agent orchestration patterns: task decomposition, tool-use pipelines, short-term and long-term agent memory, and human-in-the-loop workflows.

• Experience with agent evaluation frameworks, safety guardrails, and responsible deployment of AI agents in production environments.

• Background in retail, e-commerce, or supply chain domains understanding ofhow AI agents can drive value in inventory, fulfillment, personalization, or customer service.

• Experience with big data technologies (Spark,BigQuery, Redshift) and integrating ML models into production platform services.

• Contributions to open-source AI or platform projects; curiosity and engagement with the broader AI/ML engineering community.

Weve got you covered...

Our employees are our most important asset and thats 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

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

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.