Senior AI Engineer (contract)

Location: Charlotte, NC

Alternate Location: Irving, TX

Duration: 12 months

Work Engagement: W2

Work Schedule: Onsite

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Wells Fargo is seeking a Lead Software Engineer in Technology as part of Consumer Intelligent Automation & AI. The CIA team is building a new Agentic Engineering group, and we are looking for talented Senior Software Engineers to serve as key contributors to innovative, enterprise grade AI products. This is an opportunity to work on advanced technologies that will impact millions of customers and shape the future of financial services.

As a Senior Software Engineer, you will discover, design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

Key Responsibilities:

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments
• Contribute to large scale planning of strategies across Consumer Technology
• Design, code, test, debug, and document applications and services including upgrades and deployments
• Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
• Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals
• Lead projects and act as an escalation point, providing direction to less experienced engineers
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
• Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
• Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
• Assist and mentor engineers in advanced software development and AI engineering practices
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems

Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

• 4+ years of experience designing, developing, and deploying intelligent automation and Agentic AI solutions.
• 2+ years of hands-on experience building Agentic AI applications using frameworks such as LangChain or similar agent orchestration platforms.
• 2+ years of experience working with Generative AI, Large Language Models (LLMs), foundation models, and AI-powered automation solutions.
• 2+ years of experience with Python development.
• 2+ years of experience working with cloud-native technologies, including Azure, Google Cloud Platform (GCP), Kubernetes, or OpenShift.
• 2+ years of experience with containerization technologies such as Docker and Kubernetes.
• Hands-on experience with Microsoft Power Platform, including Power Apps, Power Automate, Power Virtual Agents (PVA), and Power BI.
• Experience developing intelligent automation solutions using UiPath.
• Experience with AI Software Development Lifecycle (AI SDLC) practices, including AI-assisted development tools such as Claude Code, Claude Design, or similar platforms.
• Experience implementing Intelligent Document Processing (IDP) solutions.
• Experience with Microsoft Copilot Studio for building conversational AI and enterprise copilots.
• Experience integrating and consuming REST APIs in enterprise applications.
• Experience using Git for source code management, including branching strategies, pull requests, code reviews, and collaborative development workflows.

• Experience building Agentic AI solutions using Vertex AI, Git-based AI development platforms, or similar enterprise AI ecosystems.
• Experience with Alteryx for data transformation, workflow automation, and analytics.
• Experience designing end-to-end intelligent automation solutions that combine AI, workflow orchestration, and document processing capabilities.
• Experience developing enterprise-grade copilots, virtual assistants, and AI agents for business process automation.
• Knowledge of prompt engineering, retrieval-augmented generation (RAG), vector databases, and agent orchestration patterns.
• Experience deploying AI applications in regulated or large-scale enterprise environments.
• Strong understanding of software engineering best practices, including CI/CD, testing, monitoring, and scalable system design.
• Experience collaborating with cross-functional teams to identify automation opportunities and deliver innovative AI-driven solutions.