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Engineer Senior 2, AI Agentic Platform

Tailored Management

  • Seattle, WA
  • 21 days ago
  • $70.42–$91.54 Per Hour

Highlights

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. Our platform enables AI agents to autonomously reason, use tools, coordinate across systems, and take action on behalf of customers and business teams — powering experiences across commerce, personalization, inventory, and customer service.

Numbers & Facts

LocationSeattle, WA
IndustryStaffing/Employment Agencies
Salary$70.42–$91.54 Per Hour
Company Size1,000 to 1,499 employees
Year Founded1968
Websitehttps://www.tailoredmanagement.com/

Description

Job Title: Engineer Senior 2, AI Agentic Platform
Location: Seattle, WA 98101 (Onsite – 4 days/week)
Duration: 06-month contract (with possible extension and potential for Conversion? Possible yes)
Work Schedule: Monday–Friday, 8:00 AM – 5:00 PM PST (40 hours/week)
Start Date: Targeting July 2026
Pay Rate: $70.42/hr. - $91.54/hr on W2
Benefits: Medical, Dental, Vision.
 
Job description:
  • Nordstrom is investing in AI as a core driver of retail innovation, and the AI Agentic Platform team is building the shared foundation that makes it possible. Our platform enables AI agents to autonomously reason, use tools, coordinate across systems, and take action on behalf of customers and business teams — powering experiences across commerce, personalization, inventory, and customer service.
  • As an Engineer Senior 2 (Level 18), 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 will design systems spanning multiple weeks or months of work, 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.
 
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 as appropriate.
  • Make and clearly articulate technical trade-offs between short-term delivery needs and long-term platform scalability, factoring in design, component choice, 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, 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 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.
 
Skills
  • 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.
  • Platform engineering in AI teams — contributed to or built shared AI infrastructure or developer platforms that enable other engineering teams to build AI-powered features.
  • Proficiency in Python and/or Java.
  • Strong understanding of cloud-native development on AWS and/or GCP.
  • Experience with RESTful APIs, event-driven architectures, and backend databases (SQL, NoSQL, or cloud-native datastores).
  • Familiarity with Kubernetes, Docker, and modern CI/CD practices (GitLab or similar).
  • Demonstrated experience designing systems spanning multiple weeks or months while balancing short- and long-term trade-offs.
  • Strong focus on observability including monitoring, metrics, dashboards, and alerting.
  • Experience collaborating with product, business, infrastructure, and security teams.
  • Strong written and verbal communication skills.
  • Agile development experience (Scrum, Kanban, Lean, or similar).
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
 
Nice to Have
  • Hands-on experience building AI Agentic systems using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
  • Experience with multi-agent orchestration including task decomposition, tool-use pipelines, agent memory, and human-in-the-loop workflows.
  • Experience with AI evaluation frameworks, guardrails, and responsible AI deployment.
  • Retail, e-commerce, or supply chain domain experience.
  • Experience with Spark, BigQuery, or Amazon Redshift.
  • Experience integrating machine learning models into production platform services.
  • Contributions to open-source AI or platform projects.
  • Active participation in the AI/ML engineering community.
 
Engineering Competencies (Nordstrom Tech Talent Framework)
Architecture & Design
  • Designs systems spanning multiple weeks or months.
  • Makes technical decisions balancing short- and long-term objectives.
  • Champions new engineering techniques across the organization.
Engineering Practices
  • Strong understanding of business strategy and engineering execution.
  • Leads design reviews and engineering work processes.
  • Drives incident resolution and cross-functional troubleshooting.
  • Identifies technical risks before they become problems.
Quality & Instrumentation
  • Leads code reviews and documentation efforts.
  • Owns team-level metrics and application performance.
  • Acts as a subject matter expert in one or more technical areas.
Leadership
  • Mentors junior engineers.
  • Participates in engineering interviews.
  • Contributes beyond the immediate team.
 
Education
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
 
 
#TMN
 

About Company

CONNECTING TOP TALENT WITH TOP-TIER OPPORTUNITIES

Tailored Management is a global staffing firm that specializes in partnering with large organizations that run their contingent labor program in a VMS/MSP environment. We have the unique capacity to support programs across all scopes and geographic locations from a single headquarters, successfully elevating program performance across the board and minimizing costs, miscommunication and delivery times. But what do we really do? We bring together the best talent with the greatest opportunities.

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