Be a key partner in driving direction and goals for the team, both in terms of individual project impacts but also overall standards for Generative AI utilization in the organization
Lead process and technology teams in developing integration, end-to-end, and UAT test strategy as well as testing activities
Help drive the broader understanding of the use of Generative AI by interfacing with key roles in Operations, Legal, Security, and Technology
Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
Lead, mentor, and develop other engineers using technical expertise, best practices and industry standards for Generative AI systems

Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7+ years of experience in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
In depth experience using large language models (LLMs) with semantic search frameworks for chatbot implementations
In depth knowledge developing and debugging in Python, and experience with scripting languages such as shell scripts
Experience developing generative AI applications using Azure OpenAI Service
Previous experience deploying large-scale applications on Azure
Experience developing, evaluating, and integrating continuous integration and deployment (CI/CD) of prompt engineering with feedback loops for Generative AI applications
Experience communicating and working across functions to drive organization-wide solutions

Principal Engineer, AI/ML

Key skills