What are the responsibilities and job description for the Senior AI Data Engineer position at wellsfargo?
Description
Title: Senior AI Data Engineer
Location: Charlotte, NC
Duration: 6 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:
· Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Programming: Python, Git, APIs & Application Development: FastAPI, REST APIs, JSON, Pydantic, Spark / PySpark
Data Engineering: SQL, Oracle, ETL/ELT
Data Platforms: Microsoft Fabric, OneLake, Data Warehouse/Lakehouse concepts
Pipeline Orchestration: Data Factory, Airflow or equivalent orchestration platform
AI / ML Engineering: Azure OpenAI, OpenAI APIs, LangChain/LangGraph (or similar frameworks)
Search & Retrieval: Embeddings, Vector Search, RAG patterns
Cloud & DevOps: Azure, Docker, CI/CD (Azure DevOps/GitHub Actions)
Monitoring & Operations: Logging, Monitoring, Alerting, Application Insights
Security & Governance: Key Vault, OAuth, Secrets Management, PII/Data Governance
Analytics & Reporting: Power BI
Documentation & Delivery: Technical Documentation, Runbooks, Agile Delivery 2
Nice to Have:
• C# / .NET
• Flask, Django, React, and Gradio
• Databricks
• Neo4j / Graph Databases
• Semantic Kernel
• MLflow
• Kubernetes
• Snowflake
• Elasticsearch / Azure AI Search