Senior Engineer 2: AI Agentic Solutions (Hybrid - Seattle, WA)
Nordstrom, Inc.
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Benefits offered by this job
Job summary
Nordstrom, Inc. is expanding its AI Agentic Solutions team in Seattle. Senior Engineer leads design and delivery of agentic systems across orchestration, tool-use, and enterprise integration, balancing performance, cost, and user impact.
You will mentor engineers, shape product-oriented engineering decisions, and collaborate with security, infra, and business teams to scale AI capabilities across commerce and customer service.
Qualifications
- 6+ years of professional software engineering experience delivering complex distributed systems.
- Hands-on experience with LLMs, foundation models, prompt engineering, RAG, and embedding-based search in production.
- Experience designing, building, and operating AI agents or agentic workflows in production.
- Ability to optimize context for agents considering token, latency, and cost constraints.
- Experience designing evaluation frameworks and safety guardrails for LLM-based systems.
- Familiarity with memory patterns for agents and durable workflow state.
- Hands-on experience with agentic frameworks such as Claude Agent SDK, LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
- Familiarity with multi-agent orchestration: task decomposition, tool-use pipelines, human-in-the-loop workflows.
- Product-minded engineering approach with strong user impact instincts.
- Proficiency in Python; cloud-native development on AWS and/or GCP.
- Experience collaborating with product, business, infrastructure, and security teams.
- Strong communication skills; able to explain complex tech to diverse audiences.
- Agile development experience (Scrum/Kanban/Lean).
- Bachelor’s or Master’s degree in CS, Engineering, or equivalent.
Responsibilities
- Define the 'art of the possible' with agents and translate problems into agentic solutions with clear success criteria.
- Design and build core agentic solutions end-to-end across orchestration, tool-use, and enterprise integrations.
- Own end-to-end solution design spanning multiple engineers with full integration.
- Apply context engineering to balance token, latency, and decision quality across patterns.
- Develop evaluations and guardrails to ensure safety, reliability, and accuracy.
- Architect memory and state management for cross-session agent reasoning.
- Integrate LLM APIs, embeddings, vector stores into production services.
- Articulate trade-offs between short-term delivery and long-term scalability.
- Lead design/code reviews and maintain high quality standards.
- Define metrics, observability, and performance/cost/safety criteria for agentics.
- Collaborate with business, infrastructure, and security for improvements and bug fixes.
- Mentor junior engineers and participate in hiring processes.
Skills
Education
Tools
Job description
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 a Senior Engineer, you are a lead individual contributor responsible for the quality of a team’s work and capable of tackling complex design and problem solving without supervision. You are a product-minded engineer — you design systems spanning multiple weeks or months of work, hold a strong point of view on what good agent user experience looks like, make technical decisions that balance short and long-term business objectives, and take ownership of team-level costs and metrics. You will champion new techniques, mentor junior engineers, and be a key technical voice in cross-functional discussions.
- Partner with business and technology stakeholders to define the “art of the possible” with agents — translating ambiguous problems into agentic solutions with clear success criteria and measurable outcomes.
- Design and build core agentic solutions end-to-end across orchestration, tool-use pipelines, and integration with enterprise systems.
- Own end-to-end solution design for agentic solutions spanning multiple engineers’ work, with full upstream/downstream integration consideration.
- Apply context engineering to determine what an agent sees, when, and why — balancing token economics, latency, and decision quality across RAG patterns, structured retrieval, and dynamic prompt assembly.
- Develop and own evaluations and guardrails that demonstrate solutions are safe, reliable, and accurate — offline benchmarks, online production telemetry, and failure-mode analysis.
- Architect memory and state management approaches that let agents reason across sessions, users, and workflows — short-term context, long-term memory, and durable conversation state.
- Apply AI fluency to integrate LLM APIs, embedding models, vector stores, and agentic frameworks into production services; evaluate and adopt emerging techniques as appropriate.
- Make and clearly articulate technical trade-offs between short-term delivery needs and long-term scalability, factoring in design, framework choice, model selection, 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 and maintain a high bar for quality, testability, and extensibility.
- Design key metrics, evaluations, and observability patterns for agentic solutions; drive accountability for performance, cost, accuracy, and security of feature work.
- Work with business, infrastructure, and security teams to deliver enhancements, reliability improvements, and bug fixes for production AI 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; participate in hiring interviews with clear, specific feedback.
- Ensure own work and team members’ work follows Nordstrom’s engineering and security standards; contribute to those standards.
- 6+ years of professional software engineering experience, with a strong track record of 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.
- Experience designing, building, and operating AI agents or agentic workflows in production, including tool-use, orchestration, and integration with downstream systems.
- Strong understanding of how to assemble, prune, and structure context for agents to maximize decision quality within token, latency, and cost constraints.
- Experience designing evaluation frameworks and safety guardrails for LLM-based systems, including offline benchmarks, online telemetry, and responsible deployment practices.
- Familiarity with short-term and long-term memory patterns for agents, vector stores, conversation state, and durable workflow state.
- Hands-on experience with agentic frameworks such as Claude Agent SDK, LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
- Familiarity with multi-agent orchestration patterns: task decomposition, tool-use pipelines, and human-in-the-loop workflows.
- A product-minded approach to engineering: strong instincts for user impact, comfortable pushing back on requirements when the right solution isn’t the one initially asked for, and able to translate business intent into agentic capabilities.
- Proficiency in Python; strong grasp of multiple tech stacks and cloud-native development on AWS and/or GCP.
- 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.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 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).
- Strong emphasis on building observability into systems — real-time alerting, dashboards, metrics, and performance accountability.
- Background in retail, e-commerce, or supply chain domains — understanding of how 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 services.
- Contributions to open-source AI projects; curiosity and 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
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.
Nordstrom keeps job postings open for at least one day after the posting date.© 2026 Nordstrom, Inc
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