Principal AI Engineer

Wells Fargo

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Boston, MACharlotte, NCNew York, NY
Salary
$191,000–$305,000 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Sep 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $248k
$134k most similar roles pay here $323k

This role pays more than 82% of similar roles. Most pay $177,900–$245,625 — the shaded band above. At the midpoint, this role pays about $248k versus about $212k for comparable roles.

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 33 open roles on FindRole.

Listed pay typically runs $159,000–$260,000 across 13 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Principal AI Engineer

The Principal AI Engineer joins the CCIBT Gen AI team to build AI frameworks, intelligent agents, and technology platforms that accelerate AI-driven capabilities across the organization. This role involves designing, developing, and deploying cutting-edge solutions using large language models (LLMs), agentic frameworks, and Retrieval-Augmented Generation (RAG). The engineer will collaborate with enterprise teams to integrate LLM models into existing products while ensuring compliance with architecture, security, and risk standards. Day-to-day responsibilities include defining performance benchmarks for agents, creating reusable components, and solving complex technical challenges in distributed systems. Required skills include proficiency in Java, Python, OpenShift containers, and deep learning concepts like natural language processing and computer vision. The role focuses on the specific domain of leveraging generative AI to enhance engineering productivity and deliver innovative solutions within a regulated enterprise environment.

What does a AI Engineer earn in Massachusetts?

Median $246150 from 62 postings across 4 companies.

See salary data

What you'll do

  • Design, develop, and deploy AI applications using LLMs, agentic frameworks, and other emerging technologies.
  • Integrate LLM models with existing CCIBT products and systems in collaboration with enterprise teams.
  • Lead the development of scalable AI applications to ensure high performance, accuracy, and reliability.
  • Define benchmarks and metrics to evaluate the performance of agents and agentic frameworks.
  • Translate business objectives and technical requirements into scalable engineering solutions for the organization.
  • Act as a technical advisor to leadership to influence AI development strategies and create reusable components.
  • Ensure all AI solutions comply with enterprise architecture, security, risk, governance, and responsible AI standards.

What we're looking for

  • 7+ years of engineering experience or equivalent through work, training, military service, or education.
  • 7+ years of experience in software development.
  • 5+ years of experience with Java, Python, OpenShift containers, and other relevant technologies.
  • 5+ years of experience with AI and ML concepts including deep learning, NLP, and computer vision.
  • Bachelor’s or master’s degree in computer science, artificial intelligence, or a related field.
  • Experience building Generative AI and Agentic AI solutions using LLMs, RAG, and multi-agent frameworks.
  • Proficiency with AI platforms such as Google Vertex AI, Microsoft 365 Copilot, LangChain, or AutoGen.
  • Experience with cloud-native architectures, microservices, containerization (Docker/Kubernetes), and CI/CD pipelines.

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