Principal Engineer

Wells Fargo

Quick summary

Work type: On-site
Location: Chandler, AZIrving, TXIselin, NJ
Salary: $159,000–$305,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $232k

$123k most similar roles pay here $324k

This role pays more than 81% of similar roles. Most pay $162,039–$217,773 — the shaded band above. At the midpoint, this role pays about $232k versus about $190k for comparable roles.

Based on 239 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 65 open roles on FindRole.

Listed pay typically runs $140,375–$224,000 across 32 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Principal Engineer

Role Posting Log in to save

Wells Fargo is hiring a Principal Engineer to lead the design, development, and delivery of Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. This senior technical leader will shape enterprise AI strategy, drive complex engineering initiatives, and deliver scalable, secure, high-performing AI-powered solutions. The role involves acting as a trusted advisor to senior leadership on technology strategy, leading the design and implementation of GenAI and multi-agent architectures, driving full-stack solution development, and integrating AI with enterprise platforms. Key responsibilities include building RAG pipelines, prompt engineering frameworks, and ensuring best practices for software engineering and platform reliability. Required qualifications are 5+ years in full-stack development (Java, Spring Boot, Node.js, Python), cloud platforms experience, hands-on GenAI or conversational AI solutions, microservices architecture understanding, and LLM-based systems expertise. Desired skills include Agentic AI frameworks, Vertex AI/OpenAI knowledge, contact center AI background, multi-agent system design, and strong organizational influence abilities.

Skills

Java Spring Boot Node.js Python GCP AWS Azure GenAI Agentic AI LangChain Vertex AI OpenAI RAG LLM-based systems microservices architecture APIs distributed systems prompt engineering multi-agent systems AI governance model risk management CI/CD

What you'll do

Lead the design and implementation of GenAI and Agentic AI architectures, including multi-agent systems.
Drive development of full-stack solutions for front-end applications, backend services, APIs, and cloud platforms.
Build scalable AI-powered applications like virtual assistants and workflow automation systems.
Design RAG pipelines, prompt engineering frameworks, and evaluation mechanisms for AI models.
Ensure integration of AI solutions with enterprise platforms, APIs, and external systems securely.
Establish best practices for software engineering, AI governance, and platform reliability.

What we're looking for

Over 5 years of full-stack development experience with Java, Spring Boot, Node.js, Python
Extensive experience in cloud platforms such as GCP, AWS, or Azure
Hands-on experience building and deploying GenAI or conversational AI solutions
Deep understanding of microservices architecture, APIs, and distributed systems
Experience with LLM-based systems, prompt engineering, and RAG architectures
Technical leadership and mentorship skills for multiple teams
Ability to collaborate across product, data science, and business teams

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