Senior AI Engineer - Generative AI & Intelligent Automation

Wells Fargo is seeking a Senior AI Engineer to help build enterprise-grade Generative AI, agentic AI, and intelligent document processing capabilities for Commercial Banking and Corporate & Investment Banking operations. This is a contract role based in Charlotte, NC with a hybrid work arrangement.

Role Focus

You will design and deliver production-ready AI systems that automate complex customer requests and operational workflows. The work includes Generative AI application development, Retrieval-Augmented Generation (RAG), AI agents, document intelligence workflows, and workflow orchestration.

Key Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI applications and intelligent automation solutions.
• Build and maintain AI agents using Python, LangGraph, LangChain, Google ADK, and agent-based architectures.
• Develop and optimize RAG solutions for document understanding and knowledge retrieval.
• Create intelligent document processing workflows to extract, validate, and enrich information across document types.
• Implement OCR and PDF parsing along with semantic matching, fuzzy comparison, confidence scoring, and rule-based validation.
• Develop API-driven integrations with internal platforms and operational systems.
• Build agent-driven workflows that interpret customer intent using ML models.
• Build agent-driven workflows that gather information from multiple enterprise applications.
• Build agent-driven workflows that validate customer identities and business data.
• Build agent-driven workflows that execute automated business processes.
• Build agent-driven workflows that support KYC and compliance-related workflows.
• Build agent-driven workflows that automatically resolve and close operational requests.
• Collaborate with product owners, architects, business stakeholders, and engineering teams to deliver scalable AI solutions.
• Ensure solutions are scalable, secure, highly available, and production-ready within a containerized cloud environment.

Required Qualifications

• Authorization to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• 3+ years experience delivering solutions in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Intelligent Automation, or related fields.
• 3+ years hands-on Python development experience.
• Strong experience with LangGraph.
• Strong experience with LangChain.
• Strong experience with Google ADK.
• Strong experience with agent-based architectures.
• Strong experience with AI workflow orchestration.
• Proven experience designing and deploying LLM-powered applications.
• Proven experience designing and deploying AI Agents.
• Proven experience designing and deploying RAG solutions.
• Proven experience designing and deploying intelligent automation platforms.
• Extensive experience implementing Document AI / Intelligent Document Processing (IDP) solutions, including OCR, PDF parsing, document extraction, data classification, confidence scoring, rule-based validation, semantic matching, and fuzzy comparison.
• Extensive experience implementing Document AI / IDP solutions including API integrations.
• Experience building and consuming REST APIs.
• Hands-on experience working with cloud-based AI and GenAI services.
• Experience working within highly containerized environments.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Technologies

• Python
• LangGraph
• LangChain
• Google ADK
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLMs)
• REST APIs
• OCR
• PDF parsing
• MongoDB
• Kafka
• Java
• Kubernetes
• KYC

Preferred Qualifications

• Experience within financial services, banking, or highly regulated industries.
• Experience with MongoDB.
• Experience with Kafka.
• Experience with Java-based services and APIs.
• Experience with Kubernetes and container orchestration platforms.
• Knowledge of KYC, customer onboarding, compliance, or operational process automation.
• Experience integrating AI solutions with enterprise workflow systems.

Benefits

• Health Insurance
• Life insurance
• 401K
• Voluntary Benefits

What Makes Someone Successful

• Real-world implementation experience building AI-powered solutions in production environments.
• Experience building and deploying RAG solutions.
• Experience developing AI agents using LangGraph and Python.
• Experience automating document-processing workflows.
• Experience extracting and validating data from unstructured documents.
• Experience integrating LLMs with APIs, databases, and enterprise applications.
• Experience delivering measurable operational efficiencies through AI-driven automation.