Build Generative AI solutions at GEI using pretrained models, Copilot technologies, and secure enterprise data integrations. This role supports hybrid work schedules.
The AI Engineer develops, deploys, and integrates AI capabilities into business workflows. You will implement prompt flows, plugins, and orchestrations with Copilot Studio and Azure Functions. The work includes RAG, APIs, Graph connectors, and event-driven patterns.
Key Responsibilities:
- Build and deploy AI solutions using pretrained models and Copilot technologies
- Design prompt flows, plugins, and orchestrations with Copilot Studio
- Integrate enterprise data sources securely into business workflows
- Maintain Power BI dashboards supporting AI-enabled workflows and insights
- Monitor reliability, performance, telemetry, and cost control
Requirements:
- Four-plus years of software engineering experience
- At least one year building Generative AI applications
- Experience developing and fine-tuning Generative AI LLM solutions
- Proficiency in Python, PySpark, R, or SQL
- Knowledge of Azure cloud services and AI platforms
Apply Generative AI, Azure, enterprise integration, and secure engineering skills to GEI’s priority digital initiatives.