Senior Agentic AI architect

Azure is mandatory
Conversational AI, Voice Agents, Voice Bot,
Text to speech, Speech to text,
voice translation related API’s
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, GCP 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
Key technical skills :
Design, develop, and deploy advanced AI models to meet business requirements
Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
Evaluate model performance, fine-tune, and ensure scalability and reliability
Research emerging AI/ML technologies and propose innovative solutions
Mentor junior AI engineers and review code/models for best practices

Work arrangement
Yes