AI Engineer
Wells FargoAbout the role
Title: AI Engineer
Location: 550 S Tryon St Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: hybrid
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
We are seeking an experienced AI Engineer to design, develop, and deploy AI agents that automate business processes, enhance decision-making, and improve operational efficiency across collateral and lending workflows.
The ideal candidate has practical experience building agentic AI solutions, integrating AI into enterprise systems, and delivering production-ready applications in a regulated environment. Banking or financial services experience is strongly preferred.
Responsibilities:
Agent Development
Design and implement AI agents and multi-step agentic workflows.
Develop retrieval-augmented generation (RAG) solutions using enterprise knowledge sources.
Integrate AI agents with internal applications, databases, and APIs.
Monitor and improve agent accuracy, reliability, and performance.
AI Engineering
Build production-grade applications using large language models.
Develop reusable prompts, workflows, and AI components.
Collaborate with business and technology teams to identify and implement AI use cases.
Support deployment, testing, and operationalization of AI solutions.
Governance & Risk
Ensure AI solutions comply with security, privacy, and governance requirements.
Implement monitoring, traceability, and responsible AI controls.
Participate in model governance and validation activities.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
5+ years of experience in software engineering, data engineering, machine learning, artificial intelligence, or related technical disciplines.
2+ years of hands-on experience developing Generative AI solutions.
Proven experience designing, building, and deploying AI agents or agentic workflows.
Strong Python development experience.
Strong SQL and data querying skills.
Experience working with Large Language Models (LLMs) and related AI technologies.
Experience building APIs and integrating enterprise applications and data sources.
Experience with source control tools such as Git and modern software development practices.
Strong problem-solving, analytical, and solution-design capabilities.
Excellent communication and stakeholder management skills.
Banking, Commercial Lending, Financial Services, or Collateral Management experience. (preferred)
Experience with agent frameworks such as:
LangChain
LangGraph
CrewAI
AutoGen
Similar agentic AI platforms
Experience designing and implementing RAG architectures.
Knowledge of data governance, metadata management, and data quality frameworks.
Exposure to semantic technologies, including:
Ontologies
Knowledge Graphs
RDF
OWL
Experience supporting AI solutions in highly regulated environments.
Responsibilities
- Design and implement AI agents and multi-step agentic workflows
- Develop retrieval-augmented generation (RAG) solutions using enterprise knowledge sources
- Integrate AI agents with internal applications, databases, and APIs
- Monitor and improve agent accuracy, reliability, and performance
- Build production-grade applications using large language models
- Develop reusable prompts, workflows, and AI components
- Collaborate with business and technology teams to identify and implement AI use cases
- Support deployment, testing, and operationalization of AI solutions
Qualifications
- 5+ years of experience in software engineering, data engineering, machine learning, artificial intelligence, or related technical disciplines
- 2+ years of hands-on experience developing Generative AI solutions
- Proven experience designing, building, and deploying AI agents or agentic workflows
- Strong Python development experience
- Strong SQL and data querying skills
- Experience working with Large Language Models (LLMs) and related AI technologies
- Experience building APIs and integrating enterprise applications and data sources
- Experience with source control tools such as Git and modern software development practices
Benefits
- Health Insurance
- Life insurance
- 401K
- Voluntary Benefits
Skills mentioned
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.