Principal AI Developer
About this role
- Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America's energy.
- We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children's Cancer Hospital, The Salvation Army, The American Red Cross, Ronald McDonald House and many more.
- We value all of our employees who make our growth and success possible.
- We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities.
- Come join our award winning over 12,000 strong organization as we fuel the world and each other!
- Summary: Energy Transfer is looking for a hands-on AI Developer with strong expertise in Python or .NET, cloud platforms, and modern data tooling to join our multidisciplinary Enterprise AI team.
- This developer will work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions.
- This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining.
- Candidates who have come up through a smaller company or startup environment - wearing multiple hats and shipping real systems - will feel right at home.
- Technical Environment Core: Python .NET Azure Databricks (data platform) AI stack: Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol) Essential Duties and 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, troubleshoot complex issues, and improve system efficiency.
- Communicate clearly with both technical and non-technical stakeholders.
- Prototype quickly, test rigorously, and iterate often.
- Requirements: Education and/or Experience, Knowledge, Skills & Abilities To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily.
- The requirements for this position are listed below: Bachelor's degree or equivalent experience, with relevant job experience commensurate with the selected job level (see below).
- Professional experience building production systems with Python or .NET (proficiency in both is a strong plus).
Key skills & tools
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