The role involves driving the development of generative AI solutions, including intent processing, retrieval augmented generation, agentic actions, and document summarization. The individual will provide technical leadership to define and enforce best practices while ensuring platforms and applications are robust and scalable. Responsibilities include leading end-to-end development from concept through production and partnering with cross-functional teams to embed features into workflows. The position requires establishing coding standards, conducting code reviews, and fostering a collaborative engineering culture. Additionally, the role focuses on identifying opportunities for AI-driven improvements and ensuring all solutions adhere to responsible AI principles and governance.

Candidates must possess at least six years of software development experience, with a minimum of two to three years specifically focused on building applications with LLMs or related AI technologies. Proficiency in Python is required, along with familiarity with Java and experience using frameworks such as LangChain. A bachelor’s degree in computer science, engineering, or a related field is necessary, while a master’s or PhD in AI/ML is considered a plus. The role requires a strong background in cloud platforms, specifically Azure, and experience with vector databases, Agile methodologies, and CI/CD pipelines.