Principal Engineer - Conversational Analytics (Hybrid - Seattle, WA)

• Architect conversational analytics solutions that can process and analyze datasets in our Data Platform (Big Query) and BI tooling at scale.
• Lead the technical vision for conversational AI and natural language processing capabilities within the Enterprise Data Platform, ensuring solutions are scalable, reliable, and cost-effective.
• Drive technical excellence across your engineering team, establishing best practices for machine learning operations (MLOps), model deployment, and AI system monitoring.
• Collaborate with cross-functional teams including data science, product, customer service, and business stakeholders to understand requirements and deliver solutions that drive business impact.
• Design and implement data pipelines that can ingest, process, and analyze conversational data from multiple sources including customer service transcripts, chat logs, reviews, and social media.
• Mentor and develop senior engineers, providing technical guidance and helping them grow their expertise in AI, machine learning, and conversational analytics.
• Drive innovation by staying current with the latest advances in conversational AI, large language models, and natural language processing technologies.
• Ensure data quality and governance for conversational data, implementing proper data security, privacy, and compliance measures.
• Lead architectural discussions and make key technical decisions that will shape the future of conversational analytics at Nordstrom.
• Partner with platform teams to integrate conversational analytics capabilities seamlessly into the broader Enterprise Data Platform ecosystem.
   

• 8+ years of relevant work experience in software engineering with significant focus on data engineering, machine learning, or AI systems.
• Bachelor's degree in Computer Science, Data Science, or a related field, with a master's degree preferred, or equivalent experience.
• 3+ years of technical leadership experience leading engineering teams in dynamic, high-scale environments.
• Deep expertise in conversational AI and NLP, including experience with large language models, natural language understanding, sentiment analysis, and intent detection.
• Strong background in machine learning engineering, including model training, deployment, monitoring, and MLOps best practices.
• Experience with cloud platforms (preferably Google Cloud Platform) and big data technologies for processing conversational data at scale.
• Proven track record of building production-grade AI/ML systems that handle real-time data processing and serve business-critical insights.
• Experience with streaming data architectures and event-driven systems, particularly for processing unstructured text data.
• Strong programming skills in languages commonly used for ML engineering (Python, SQL, etc.) and familiarity with ML frameworks and libraries.
• Customer-focused mindset with ability to translate business requirements into technical solutions and communicate complex technical concepts to non-technical stakeholders.
• Experience with data governance, privacy, and security especially as it relates to customer conversation data and AI model compliance.
• Demonstrated ability to drive technical innovation while balancing practical business needs and engineering constraints.
   

• Experience with retail or e-commerce conversational analytics
• Background in customer experience analytics and sentiment analysis
• Experience with real-time conversation analysis and chatbot technologies
• Knowledge of privacy-preserving ML techniques for sensitive customer data
• Previous experience scaling conversational AI solutions across multiple business units

#LI-Hybrid

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 withint 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.

© 2022 Nordstrom, Inc  

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.

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.