Principal Engineer

Wells Fargo

Confirmed live today High trust
Closes tomorrow

Quick summary

Work type
On-site
Location
Chandler, AZIrving, TX
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 22, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $193k
$130k most similar roles pay here $267k

This listing doesn't post a salary. Most similar roles pay $170,075–$216,300.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 42 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 27 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Principal Engineer

Principal Engineer As a Principal Engineer, you will lead the design, development, and delivery of Generative AI and Agentic AI solutions across enterprise platforms. You will serve as a technical leader responsible for shaping enterprise AI strategy, building multi-agent systems, and developing end-to-end full-stack solutions including front-end applications, backend services, and APIs. Your daily work involves designing RAG pipelines, prompt engineering frameworks, and AI evaluation mechanisms while integrating these tools with existing enterprise platforms. You will utilize a technical stack including Java, Spring Boot, Node.js, Python, and cloud platforms such as GCP, AWS, or Azure. Additionally, you may leverage Agentic AI frameworks like LangChain, LangGraph, or CrewAI to solve complex problems in domains like contact centers and conversational AI while ensuring high-performing, scalable, and secure automated systems for customer and employee experiences.

What does a Engineer earn in Texas?

Median $171375 from 42 postings across 14 companies.

See salary data

What you'll do

  • Lead the design and implementation of GenAI and Agentic AI architectures including multi-agent orchestration.
  • Develop end-to-end full-stack solutions involving front-end applications, backend services, APIs, and cloud-native platforms.
  • Build and scale AI-powered applications such as virtual assistants and workflow automation systems.
  • Design and implement RAG pipelines, prompt engineering frameworks, and AI evaluation mechanisms.
  • Integrate AI solutions with enterprise platforms, internal APIs, and external systems.
  • Establish and enforce best practices for software engineering, AI governance, and platform reliability.
  • Act as a technical advisor to senior leadership to influence enterprise-wide technology strategy.
  • Mentor engineers and promote technical excellence across the organization.

What we're looking for

  • 7+ years of engineering experience or equivalent through work, training, military service, or education.
  • 5+ years of experience in full-stack development using Java, Spring Boot, Node.js, and Python.
  • 5+ years of experience with cloud platforms such as GCP, AWS, or Azure.
  • 1+ year of hands-on experience building and deploying GenAI or conversational AI solutions.
  • 1+ year of experience with LLM-based systems, prompt engineering, or RAG architectures.
  • 1+ year of experience with microservices architecture, APIs, and distributed systems.
  • Experience with Agentic AI frameworks like LangChain, LangGraph, CrewAI, or similar (preferred).
  • Experience with Vertex AI, OpenAI, or other GenAI platforms; contact center domains; and AI governance practices (preferred).

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