Job Title: Insurance AI Architect
Skills: Generative AI, RAG, LLM, Insurance Domain, AWS/Azure/GCP
Experience: 12-18 Years
Location: Greater Noida, Hyderabad & Pune
We at Coforge are hiring for Insurance AI Architect
AI/ML Technical Stack
• LLM & GenAI frameworks: LangChain, LlamaIndex, Semantic Kernel; prompt engineering, RAG architecture design, and agentic frameworks ( CrewAI, or similar) for multi-step underwriting/claims workflows
• Foundation model platforms: Practical experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, and Anthropic Claude/API; model selection criteria (cost, latency, accuracy) for insurance-specific tasks
• Traditional ML/predictive modeling: Regression, gradient boosting (XGBoost/LightGBM) for risk scoring and pricing models; familiarity with actuarial modeling concepts as they intersect with ML
• Document AI/IDP: OCR and intelligent document processing (Azure Form Recognizer, AWS Textract) for submission intake, ACORD forms, loss runs, and SOV (statement of values) processing a common Commercial/Specialty use case
• MLOps & deployment:
Model versioning, monitoring, and governance tooling (MLflow, Azure ML, SageMaker); CI/CD for AI pipelines integrated with platform release cycles
• Microsoft AI Platform Expertise: Copilot Studio, Foundry and Microsoft ecosystem integration
• Platform decision-making: Judgment on when to use Copilot Studio (low-code, business-user-facing agents) vs. AI Foundry (custom, code-first, higher-control agentic solutions) vs. open-source/other cloud AI stacks, based on client maturity, governance needs, and use case complexity
Data & Cloud Architecture
• Cloud platforms: Azure, AWS, or GCP; landing zone design, data lake/lakehouse architecture for insurance data
• Data engineering: ETL/ELT pipelines pulling from Duck Creek/Guidewire data models into analytics or AI-ready stores; understanding of insurance data standards (ACORD, ISO)
• API & microservices design: RESTful API design, event streaming (Kafk
📌 Insurance AI Architect (Noida)
🏢 Coforge
📍 Noida