Teams at EQT Corp.

Build, configure, deploy, monitor, and optimize production AI agents using Microsoft AI Foundry. Develop shared agent tools, customize prompts and tools, implement hosted agents when needed, and enforce security, identity, evaluation, cost, and responsible AI standards. Partner with AI specialists and business experts to test and improve agents, coach non-engineers on prompt evaluation, integrate enterprise systems such as Salesforce and Databricks, and contribute to scalable Agent Factory practices.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

Participate in a 12-week internship collaborating with business and AI teams to identify use cases, prototype and deploy AI solutions using low-code frameworks, large language models, and orchestration tools. Support AI literacy materials, demonstrations, and internal showcases that promote adoption. Translate technical concepts into business value while developing analytical, problem-solving, communication, and collaboration skills.