Job Description • 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. Skills: model selection,software development,retrieval-augmented generation (rag),machine learning,communication,troubleshooting,vector stores,python,ml engineering,genai solution architecture,prompt engineering,genai,model deployment,mvp development,collaboration,mentoring,fine-tuning strategy,mvp's