About the Role We are seeking a highly motivated and experienced Generative AI Lead to spearhead our efforts in leveraging generative AI technologies to solve complex business problems, enhance productivity, and build innovative products and solutions. You will lead the design, development, and deployment of cutting edge GenAI models and systems that deliver tangible business value. Key Responsibilities Strategy and Leadership Define and drive the companys generative AI roadmap in alignment with business goals Collaborate with senior leadership to identify high impact GenAI use cases across departments Evangelize GenAI within the organization, fostering a culture of innovation and responsible AI use Technical Execution Lead end to end development of GenAI solutions using LLMs, diffusion models, and other generative techniques such as GPT, Claude, DALL E, Stable Diffusion Architect and fine-tune models using open-source and commercial APIs including OpenAI, Anthropic, Mistral, Cohere, HuggingFace Oversee prompt engineering, RAG (Retrieval-Augmented Generation), fine tuning, and model evaluation Team Leadership Manage and mentor a team of ML engineers, data scientists, and AI researchers Define best practices, development standards, and ethical guidelines for AI development and deployment Cross functional Collaboration Partner with Product, Engineering, Legal, and Design teams to ensure seamless integration of GenAI features Work closely with data engineering teams to ensure high quality data pipelines and infrastructure Governance and Ethics Ensure AI systems are developed with fairness, transparency, security, and compliance in mind Stay updated on AI regulations and ensure all GenAI initiatives align with legal and ethical standards Required Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field 7 plus years of experience in AI/ML; 2+ years in leading GenAI initiatives Proven experience with LLMs such as GPT-4/4o, Claude, LLaMA, Mistral and generative frameworks Proficient in Python, TensorFlow/PyTorch, LangChain, vector databases such as FAISS, Pinecone, Weaviate Experience with cloud platforms including AWS, Azure, GCP and MLOps tools Strong understanding of NLP, transformer architectures, and prompt engineering Demonstrated success in leading cross functional teams and delivering enterprise level AI products Preferred Qualifications Experience deploying GenAI in real world applications such as chatbots, content genera.