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# Senior AI Engineer

- **Company:** Wells Fargo
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Cloud Computing, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, Software Systems, Test Data, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, AI Platforms, Performance Monitor, Machine Learning Operations, Microservices
- **Published:** October 1, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3413455098&tx=CT3735TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 4+ 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 hands-on experience building and deploying AI/ML solutions in production environments.
 * 2+ years of experience working with Generative AI systems, including large language models.
 * 2+ years of experience in Python

Desired Qualifications:

 * Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases and retrieval frameworks.
 * Experience building agentic AI or multi-agent orchestration systems.
 * Familiarity with enterprise AI governance, model risk management, and model lifecycle controls.
 * Experience supporting enterprise-scale GenAI platforms or shared AI services.
 * Strong understanding of observability, monitoring, and performance optimization for AI workloads.
 * Prior experience working in highly regulated environments; financial services experience is a plus.
 * Experience deploying and operating AI solutions on cloud platforms (GCP, AWS, or Azure).
 * Solid understanding of distributed systems, APIs, and microservices architecture.
 * Demonstrated ability to lead technical initiatives and influence engineering decisions across multiple teams.

## Description

At Wells Fargo, we are building enterprise-grade Generative AI capabilities that are secure, scalable, and deeply integrated into our business workflows. The AI Engineer plays a critical role in translating Generative AI strategy into production-ready systems that operate at enterprise scale.

You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic AI orchestration, and shared GenAI services that power high-visibility enterprise programs such as DASH and other priority initiatives.

In this role, you will:

 * Lead or participate in complex initiatives on selected domains
 * Assure quality, security and compliance for supported systems and applications
 * Serve as a technical resource in finding software solutions
 * Review and evaluate user needs and determine requirements
 * Provide technical support, advice, and consultation with the issues relating to supported applications
 * Create test data and conduct interfaces and unit tests
 * Design, code, test, debug and document programs using Agile development practices
 * Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
 * Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
 * Assist other individuals in advanced software development
 * Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals, Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.