Principal AI Developer — Production AI on Azure

Energy Transfer Partners, L.P.; Houston, Northern (TX, KY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

401(k) match with profit sharing

PTO

Career opportunities

Job summary

Energy Transfer Partners, L.P. is seeking a hands-on AI Developer with strong expertise in Python or .NET to join our Enterprise AI team in a fast-paced, end-to-end role. You will prototype, build, deploy, and refine AI solutions alongside engineers and business analysts.

The ideal candidate has production systems experience with Python or .NET, cloud platforms (Azure preferred), and data tooling like Databricks. On-site role with significant ownership of technical work is expected.

Qualifications

• Bachelor’s degree or equivalent experience with relevant job level.

Responsibilities

• Design, develop, deploy, and maintain AI solutions using Python and/or .NET.
• Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.
• Build and optimize cloud-native applications on Azure.
• Work with large-scale data in Databricks.
• Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems.
• Apply critical thinking to evaluate model performance and improve system efficiency.
• Communicate clearly with both technical and non-technical stakeholders.
• Prototype quickly, test rigorously, and iterate often.

Skills

Python

.NET

SQL

Cloud platforms

Databricks

Microsoft Copilot Studio

Semantic Kernel

LangGraph

AutoGen

CrewAI

Azure OpenAI

Education

Bachelor’s degree or equivalent experience

Tools

Databricks

Microsoft Copilot Studio

Semantic Kernel Agent Framework

LangGraph

AutoGen

CrewAI

Job description

Energy Transfer Partners, L.P. is seeking a hands-on AI Developer with strong expertise in Python or .NET to join our Enterprise AI team in a fast-paced, end-to-end role. You will prototype, build, deploy, and refine AI solutions alongside engineers and business analysts.

The ideal candidate has production systems experience with Python or .NET, cloud platforms (Azure preferred), and data tooling like Databricks. On-site role with significant ownership of technical work is expected.