Senior AI Engineer

Lead AI application development and integration for enterprise environments at Wells Fargo in Charlotte, NC.

Responsibilities

• Own delivery of moderately complex initiatives and engineering deliverables
• Contribute to large-scale strategy planning across Consumer Technology
• Design, code, test, debug, and document applications and services, including upgrades and deployments
• Evaluate technical challenges and select appropriate technologies, procedures, and engineering approaches
• Resolve moderately complex issues while supporting existing and emerging business needs
• Collaborate with peers, colleagues, and mid-level managers to address technical blockers and meet project goals
• Lead projects and serve as an escalation point, providing direction to less experienced engineers
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, and agent frameworks
• Apply prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
• Integrate LLM models with existing enterprise systems while meeting governance, security, and compliance standards
• Troubleshoot complex application and model-related issues and support continuous improvement of AI systems
• Assist and mentor engineers on advanced software development and AI engineering practices
• Track advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems

Requirements

• Authorization to work for ANY employer in the U.S.; this role is not eligible for visa sponsorship
• Knowledge of cloud security principles: identity and access management, encryption, and network security in public or hybrid cloud environments
• Experience in highly regulated industries, including financial services
• Background as a technical lead or architect, including mentoring senior engineers
• Experience integrating or contributing to open-source AI or ML projects
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
• Strong communication and documentation skills for cross-team collaboration with engineering, product, and oversight teams

Technologies

• Identity and access management, encryption, network security
• Enterprise APIs, LLMs, agent frameworks
• Prompt engineering, retrieval augmented generation, fine tuning
• Enterprise systems
• OpenAI, Anthropic, Google Gemini
• Power Platform (Power Apps, Dataverse)
• UiPath
• Vector databases: Pinecone, Weaviate, Elasticsearch, OpenSearch
• ML lifecycle tools, feature stores, model registries
• CI/CD pipelines for AI services
• Observability, monitoring

Preferred skills and experience

• Power Platform experience, including Power Apps and Dataverse
• UiPath (or similar enterprise automation tools)
• LLM development experience with OpenAI, Anthropic, or Google Gemini models
• Agentic frameworks and AI workflow orchestration experience
• Experience building retrieval augmented generation, fine tuning, and structured prompting into applications
• Vector database and retrieval system experience using Elasticsearch, OpenSearch, Pinecone, or Weaviate
• LLM evaluation and monitoring experience (latency, cost, accuracy, grounding, drift detection, safety assessments)
• Familiarity with ML lifecycle processes (feature stores, model registries) and CI/CD pipelines for AI services
• Familiarity with responsible AI principles, governance, and compliance for AI systems in regulated environments
• Experience improving AI application performance (prompt efficiency, model selection, caching, batching, cost management)

Benefits (for contract position)

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

Location: Charlotte, NC (onsite)  |  Job type: contract