This role pays more than
58%
of similar roles. Most pay
$162,000–$244,537
— the shaded band above.
At the midpoint, this role pays about
$212k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Nordstrom
Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail
Nordstrom currently has
30 open roles
on FindRole.
Listed pay typically runs
$142,000–$220,500
across 29 roles with salary data.
Senior Engineer 2: AI Agentic Platform serves as a lead individual contributor within the AI Agentic Platform team, building a shared foundation for autonomous agents to reason, use tools, and coordinate across systems. You will design and build core capabilities including agent orchestration layers, tool-use pipelines, memory systems, and APIs to power commerce, personalization, inventory, and customer service features. The role requires high proficiency in Python or Java, experience with cloud-native development on AWS or GCP, and expertise in RESTful services, event-driven architectures, and databases like SQL or NoSQL. You will integrate LLM APIs, embedding models, vector stores, and RAG patterns into production systems while utilizing containerization tools like Kubernetes and Docker. Key responsibilities include mentoring junior engineers, leading code reviews, and managing technical trade-offs regarding scalability, performance, and security for the platform's infrastructure.
What does a Engineer earn in Washington?
Median $174600 from 40 postings across 12 companies.
Build core AI Agentic Platform capabilities including orchestration layers, tool-use pipelines, memory systems, and APIs.
Design end-to-end solutions for platform components while balancing short-term delivery with long-term scalability and costs.
Integrate LLM APIs, embedding models, vector stores, and RAG patterns into production platform services.
Lead design and code reviews to ensure high standards for quality, testability, and extensibility.
Design and implement observability patterns, including real-time alerting, dashboards, and performance metrics.
Collaborate with infrastructure and security teams to deliver reliability improvements and bug fixes for AI systems.
Mentor junior engineers through technical guidance and participation in the hiring process.
What we're looking for
Must have 6+ years of professional software engineering experience in designing and delivering complex, scalable distributed systems.
Required hands-on experience with LLMs, foundation model APIs, prompt engineering, RAG architectures, and embedding-based search in production.
Experience building shared AI infrastructure or developer platforms within an AI-focused product organization.
Proficiency in Python and/or Java with a strong grasp of cloud-native development on AWS and/or GCP.
Experience with RESTful services, event-driven architectures, backend databases (SQL, NoSQL), and containerization technologies like Kubernetes and Docker.
Proven ability to design systems spanning multiple months while balancing technical trade-offs, cost management, and observability requirements.
Strong verbal and written communication skills to articulate complex technical decisions to both technical and non-technical audiences.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.