& Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines. Lead the design, development, and delivery of high-quality, scalable software applications supporting Generative AI initiatives. Collaborate with Data Scientists, MLOps, Cloud Architects, Product Managers, and Legal teams for safe, ethical and compliant AI. Should have hands-on experience on ML engineering. Deployment of models from development to production and troubleshoot if any issue arises. Develop Minimum Viable Products (MVPs) based on both clearly defined and evolving requirements, iterating quickly to meet rapidly changing needs. Mentor and guide engineers of all levels, fostering a collaborative and high-performing team environment. Effectively communicate technical concepts and project updates to engineers, leaders, and executives. Capable of and will lead a small squad of engineers, providing technical guidance. Proactively identify and resolve complex technical challenges within the environment.