AI Engineer (contract)
Wells Fargo · Charlotte, NC · 1 mo ago
Information TechnologyContract
Location: 550 S Tryon St Charlotte, NC | Duration: 12 months | Work Engagement: W2 | Work Schedule: hybrid
About the role
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
- 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.
- 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.
Benefits
- Health Insurance
- Life insurance
- 401K
- Voluntary Benefits