Lead the design and implementation of generative AI use cases, from ideation to production. Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc. Create robust prompt engineering strategies and reusable prompt templates. Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools. Collaborate with engineering, data science, and business teams to identify opportunities and build solutions. Ensure responsible AI practices, data privacy, security, and model evaluation processes are followed. Stay current on GenAI trends, frameworks (LangChain, LlamaIndex), and research. Mentor junior team members and promote a culture of experimentation and learning. Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues Ensure essential procedures are followed and contribute to defining standards Integrate in-depth knowledge of applications development with overall technology function to achieve established goals Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary