• Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. • Design, develop and deploy AI solutions with a focus on: clarify the problem, design the approach, write the prompts and prototype quickly. • Curate, process and augment high-quality multimodal data while integrating Retrieval-Augmented Generation (RAG) for robust model grounding and improved accuracy. • Implement retrieval-augmented workflows: grounding, chunking, indexing strategies, response synthesis, and guardrails for factuality and tone. • Orchestrate multi-step agents: task decomposition, tool-use design, memory and context strategies, and failure/retry logic for reliability. • Operationalize prompt systems: reusable prompt patterns, role/task separation, evaluation harnesses, and continuous refinement. • Leverage core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and Natural Language Processing (NLP)/Chatbot interface construction. • Deploy solutions to a shareable environment for stakeholders. • Document decisions: assumptions, risks, test plans, and clear instructions so others can run, test, and extend prototypes. • Translate complex AI behavior into simple narratives and demos. Gather feedback from non-technical stakeholders and close the loop with measurable improvements.