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Tier-1 brand and metro location with a senior specialized GenAI role yields moderate applicant density.
Role requires deep GenAI, RAG, LLM deployment and leadership, so cross-industry transferability is limited.
Explicit 12+ years, 5+ years GenAI requirement, and mandatory technical stack and leadership make filters strict.
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Lead and architect enterprise-scale AI solutions using Generative AI, RAG pipelines, and Agentic AI frameworks.
Define AI architecture standards, scalability strategies, and cloud integration for large-scale projects.
Manage effort estimation, resource planning, model deployment, and lead MVP development for rapid prototyping.
12+ years of experience in AI/ML development, including 5+ years in Generative AI and advanced AI systems.
Expert-level proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, and Hugging Face.
Strong knowledge of RAG, embeddings, vector databases (FAISS, Pinecone), and agent orchestration frameworks (LangChain, AutoGen).
Bachelor's or Master’s degree in Computer Science, AI/ML, or related field.
Proven experience leading large-scale AI projects and managing cross-functional engineering teams.
Strong architectural design skills for scalable AI solutions aligned to business objectives.
Experience with cloud platforms (AWS, Azure, GCP) and production deployment of AI models with cost estimation and monitoring.