LLM Agentic AI Solution Architect

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
Advanced coursework or certifications in machine learning, deep learning, or NLP
Strong mathematical and statistical foundation

6–10 years of experience in AI/ML/Deep Learning model development
2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
3-5 years of experience deploying AI solutions in production environments

5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
3-5 years of experience designing, training, and fine-tuning large language models or AI models, speech/voice AI systems, Realtime voice pipeline
5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, Google Cloud Platform AI)
2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration
2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
5 years of experience in  integrating AI models into applications via APIs or pipelines
2-3 years experience in Azure services — Azure AI Speech and Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights