Enterprise Apis Engineer Jobs

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Today

Senior AI Engineer

Wells Fargo Charlotte, NC

Charlotte, NC

Today

Contract Artificial Intelligence Enterprise Apis Generative AI

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Job Description

Charlotte, NC (onsite) contract role at Wells Fargo for a Senior AI Engineer focused on building and integrating AI applications that meet enterprise governance, security, and compliance expectations. You will lead AI application development end-to-end, including deployment, evaluation, troubleshooting, and continuous improvement, while collaborating across engineering and oversight teams.

The work spans enterprise APIs, LLMs, and agent frameworks, with hands-on implementation of prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns. Your efforts will connect LLM capabilities to existing enterprise systems and secure data pipelines in a regulated environment.

What you will do

Lead moderately complex initiatives and deliverables in technical engineering environments
Contribute to large scale planning of strategies across Consumer Technology
Design, code, test, debug, and document AI applications and services, including upgrades and deployments
Review technical challenges requiring in depth evaluation of technologies, procedures, and engineering approaches
Resolve moderately complex issues and help teams meet existing and emerging business needs
Collaborate with peers, colleagues, and mid-level managers to achieve 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
Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
Integrate LLM models with enterprise systems and ensure AI solutions align with governance, security, and compliance standards
Troubleshoot complex application and model related issues and drive continuous improvement of AI systems
Assist and mentor engineers in advanced software development and AI engineering practices
Stay current on advances in AI, LLMs, and agent frameworks, applying relevant updates to products and systems

What you bring

Authorization to work for ANY employer in the U.S.; not eligible for visa sponsorship
Understanding of cloud security principles, including identity and access management, encryption, and network security in public or hybrid cloud environments
Experience working in highly regulated industries such as financial services
Experience 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 to collaborate across engineering, product, and oversight teams

Tools and technologies involved

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

Preferred experience

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

Benefits (contract)

Health Insurance
Life insurance
401K
Voluntary Benefits

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