Gen AI architect

Required Technical Skill Set • Deep knowledge of the GenAI landscape and LLM models (LLMs, GANs, VAEs) across both hyperscalers and open-source ecosystems; familiarity with GenAI tools in the SDLC ecosystem, AI agents, agent orchestration, agent planning, continuous-learning agents, LangGraph, LangChain, AutoGen, vector embeddings, knowledge graphs, vector DBs • Expertise in machine learning and deep learning frameworks (TensorFlow, PyTorch, Keras, scikit-learn, etc.) • Strong experience in architecting AI/ML and cloud architectures at enterprise scale • Hands-on experience in Python and ML-related programming • Expertise in model development, LLMOps, MLOps, and DataOps pipelines • Strong understanding of security, compliance, and ethical AI practices, including model explainability and bias mitigationMust-Have(Ideally should not be more than 3–5) • Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field • 9+ years of Master’s experience and 3+ years of PhD experience handling AI/ML/GenAI projects • Experience in a customer-facing role with excellent analytical, presentation, and communication skills • Experience in architecting, programming, and debugging following well-architected frameworksGood-to-Have • Experience with multi-cloud platforms; ability to continuously evaluate emerging GenAI technologies and industry trends, and guide technical decision-making and model optimization in production environments

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