Job Title: AI Solution Architect with Azure

Mandatory Skills/Note:

Experience: 10-15 years' experience is fine. The key focus areas from a skills standpoint are as follows. Rest of the skills are nice to have.

AI solution architecture experience using APIs, Vector Database Search, and RAG

Azure cloud and document intelligence experience to process unstructured data

Model development experience using Python

Key Responsibilities:

• Develop and implement a micro design for AI solutions, focusing on:
• OCR and document intelligence
• Similarity capabilities
• Composing foundation blocks
• Architect solutions using Azure, with a strong emphasis on Azure Document Intelligence.
• Design and implement AI search solutions using Vector Databases and RAG solutions.
• Process and analyze policy and actuary data using vector analysis techniques. Mostly unstructured data processing, pdf, document etc less of excel file processing (Excels are processed in Salesforce mostly)
• Collaborate with teams using OpenShift for UI development, integrating with React and Spring Boot.
• Develop and integrate APIs for the Insurance Workbench.
• Plan for the future integration with Unity Catalog, targeting implementation in 2025.
• Set up and manage MLflow for model evaluation and establish a model registry.
• Explore the use of Langchain for enhancing solution capabilities (nice to have).
• Develop pricing models using Python.

Qualifications:

• Proven experience as a Solution Architect, particularly in AI and data solutions.
• Strong expertise in Azure cloud services, especially Azure Document Intelligence.
• Familiarity with AI search technologies and Vector Databases.
• Experience with OpenShift, React, and Spring Boot for UI development.
• Proficiency in API development and integration.
• Understanding of MLflow and model registry setup.
• Knowledge of Langchain is a plus.
• Experience with Python for pricing model development.
• Familiarity with Salesforce for Excel file processing.