Gen AI

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 ResponsibilitiesStrategy and LeadershipDefine and drive the companys generative AI roadmap in alignment with business goalsCollaborate with senior leadership to identify high impact GenAI use cases across departmentsEvangelize GenAI within the organization, fostering a culture of innovation and responsible AI useTechnical ExecutionLead end to end development of GenAI solutions using LLMs, diffusion models, and other generative techniques such as GPT, Claude, DALL E, Stable DiffusionArchitect and fine-tune models using open-source and commercial APIs including OpenAI, Anthropic, Mistral, Cohere, HuggingFaceOversee prompt engineering, RAG (Retrieval-Augmented Generation), fine tuning, and model evaluationTeam LeadershipManage and mentor a team of ML engineers, data scientists, and AI researchersDefine best practices, development standards, and ethical guidelines for AI development and deploymentCross functional CollaborationPartner with Product, Engineering, Legal, and Design teams to ensure seamless integration of GenAI featuresWork closely with data engineering teams to ensure high quality data pipelines and infrastructureGovernance and EthicsEnsure AI systems are developed with fairness, transparency, security, and compliance in mindStay 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 field7 plus years of experience in AI/ML; 2+ years in leading GenAI initiativesProven experience with LLMs such as GPT-4/4o, Claude, LLaMA, Mistral and generative frameworksProficient in Python, TensorFlow/PyTorch, LangChain, vector databases such as FAISS, Pinecone, WeaviateExperience with cloud platforms including AWS, Azure, GCP and MLOps toolsStrong understanding of NLP, transformer architectures, and prompt engineeringDemonstrated 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 generation, knowledge managementExperience with multimodal models including text, image, audioContributions to open-source GenAI tools or research publications