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 mitigation

Must-Have (Ideally should not be more than 3–5)

Good-to-Have