• Build and deploy enterprise-ready AI solutions using LLMs, other GenAI approaches, and deep learning capabilities. • Scale out AI solutions: optimize performance of solutions, automate deployment and testing • Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools. • Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design. • Develop APIs and lightweight UIs (e.g., Dash, Flask and others) to deliver AI tools to end users. • Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms. • Drive delivery of AI components aligned with product roadmaps and business priorities.