Senior AI Engineer - Production AI on Azure & Databricks

Energy Transfer; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Energy Transfer is seeking a hands-on Senior AI Developer to join our Enterprise AI team in Houston. You will design, prototype, deploy, and maintain AI solutions using Python and/or .NET, work with cloud platforms, and turn ideas into production systems.

Ideal candidates have experience building production systems, including RAG pipelines and AI agents, and can communicate across technical and business teams in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent experience.
• Professional experience building production systems with Python or .NET.
• Strong knowledge of cloud services and architectures — Azure preferred (or AWS/GCP).
• Hands-on experience with RAG pipelines.
• Hands-on experience with AI agents (Copilot Studio, Semantic Kernel) or similar.
• Experience with Azure AI Search / vector search platforms.
• SQL and large-scale data platforms familiarity.

Responsibilities

• Design, develop, deploy, and maintain AI solutions using Python and/or .NET.
• Build AI agents using Copilot Studio or Semantic Kernel.
• Build and optimize cloud-native apps on Azure.
• Work with Databricks and large-scale data.
• Turn ideas into production systems with cross-functional teams.
• Evaluate model performance and improve system efficiency.

Skills

Python

.NET

Azure

Databricks

AI agents

RAG pipelines

SQL

Communication

Education

Bachelor’s degree or equivalent experience

Tools

Microsoft Copilot Studio

Semantic Kernel

LangGraph

AutoGen

Job description

Energy Transfer is seeking a hands-on Senior AI Developer to join our Enterprise AI team in Houston. You will design, prototype, deploy, and maintain AI solutions using Python and/or .NET, work with cloud platforms, and turn ideas into production systems.

Ideal candidates have experience building production systems, including RAG pipelines and AI agents, and can communicate across technical and business teams in a fast-paced environment.