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Wells Fargo

Lead AI Engineer

Wells Fargo

. Build scalable, robust ingestion pipelines for processing clickstream data, handling both participant-level (full-day employee activity) and case-level (end-to-end case lifecycle) data streams.

Posted 5/23/2026full-timeIrving • California, New Jersey, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $159,000 - $305,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Build scalable, robust ingestion pipelines for processing clickstream data, handling both participant-level (full-day employee activity) and case-level (end-to-end case lifecycle) data streams.
  • Design and implement streaming platform-based orchestration for pipeline coordination, ensuring reliable data flow and processing guarantees.
  • Deploy and manage containerized services on enterprise container platforms, implementing CI/CD pipelines and infrastructure-as-code practices.
  • Implement comprehensive observability for LLM and VLM pipelines, including: Performance monitoring and metrics collection, Distributed tracing for multi-model pipelines, Logging and alerting for model inference, Cost tracking and optimization.
  • Build fault-tolerant systems with retry mechanisms, circuit breakers, dead letter queues, and graceful degradation patterns.
  • Work with VLMs to process clickstream video data and generate high-quality transcripts for downstream analysis.
  • Ensure seamless integration with downstream Analysis & Evaluation workstream.

Requirements

What you’ll need
  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
  • 2+ years of experience with streaming platforms for data orchestration.
  • 2+ years of experience with containerization and container orchestration platforms.
  • 2+ years of deploying and operating ML/AI models in production environments.
  • 3+ years of experience programming with Python.

Benefits

Comp & perks
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

ATS Keywords

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Hard Skills & Tools
data ingestiondata processingstreaming platformscontainerizationCI/CD pipelinesinfrastructure-as-codeobservabilityperformance monitoringPythonML/AI model deployment