Principal AI Engineer: Production AI on Azure & Databricks

Energy Transfer Partners, L.P.; Town of Texas (WI); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Energy Transfer is seeking a hands-on AI Developer to design, build, deploy, and iterate real production AI solutions. You will work with AI engineers and business analysts to turn ideas into shipped systems, owning work end-to-end from prototyping to deployment.

The role emphasizes rapid prototyping, rigorous testing, and optimization in a fast-paced environment with ownership across the stack. Strong experience with Python or .NET and cloud platforms is essential.

Qualifications

• Bachelor’s degree or equivalent; 5+ years of related experience.
• Professional experience building production systems with Python or .NET.
• Strong knowledge of cloud services and architecture patterns — Azure preferred (or AWS/GCP).
• Hands-on experience with RAG pipelines and AI agents.

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 applications on Azure.
• Work with Databricks for large-scale data.
• Collaborate with AI engineers and business analysts to productionize ideas.
• Evaluate model performance and optimize systems.
• Communicate clearly with technical and non-technical stakeholders.
• Prototype quickly and iterate.

Skills

Python

C# / .NET

Cloud platforms

Azure

Databricks

SQL

AI/ML

LangGraph

AutoGen

CrewAI

Education

Bachelor’s degree or equivalent experience

Tools

Microsoft Copilot Studio

Semantic Kernel

Databricks

Azure

Job description

Energy Transfer is seeking a hands-on AI Developer to design, build, deploy, and iterate real production AI solutions. You will work with AI engineers and business analysts to turn ideas into shipped systems, owning work end-to-end from prototyping to deployment.

The role emphasizes rapid prototyping, rigorous testing, and optimization in a fast-paced environment with ownership across the stack. Strong experience with Python or .NET and cloud platforms is essential.