Cloud & Tools: Azure OpenAI, Azure Cognitive Services, Azure Databricks, Azure DevOps, AKS, Terraform

• Languages: Python, SQL, Spark, Java

• Frameworks: LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow

• Certifications :

- Microsoft Certified: Azure AI Engineer Associate(mandatory)

- Databricks Certified Machine Learning Professional (preferred)

- Certified Ethical AI Practitioner (preferred)

Role Overview:

The AI Architect design and setup AI tools on the Azure platform that is ready for today and tomorrow. Today, the needs are around

1. extracting Policy Details from millions of documents into a structured start schema table.

2. deploying predictive models for risk policy risk analysis and forecasting

Tomorrow, the needs will be to incorporate AI capabilities into insurance and customer service workflows.. The architect will collaborate with cross-functional teams to ensure scalable, secure, and ethical AI implementations.

Experience Level: Senior (10+ years preferred)