01Overview
We are looking for a seasoned AI/ML professional to drive AI innovation in the Insurance domain, leveraging Generative AI and Agentic AI systems to transform underwriting, claims processing, fraud detection, and customer experience. This role requires a blend of deep technical expertise and domain understanding in BFSI/Insurance workflows.
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Key Responsibilities
Design and deploy AI/ML models for insurance use cases such as:
o Claims automation
o Underwriting risk assessment
o Fraud detection & anomaly detection
o Policy servicing and customer insights
o Leakage Analysis
Build Generative AI solutions for:
o Automated document processing (policy docs, claims, KYC)
o Intelligent customer support (chatbots, virtual assistants)
o Report and summary generation
Develop Agentic AI systems to:
o Automate multi-step insurance workflows (e.g., claims lifecycle)
o Orchestrate decision-making agents interacting with internal tools/APIs
o Enable autonomous underwriting or claims triaging systems
Implement RAG pipelines for:
o Policy document retrieval
o Regulatory compliance assistance
o Knowledge-based customer support
Work with structured and unstructured data:
o Claims records, policy documents, call transcripts, images
Ensure regulatory compliance (IRDAI guidelines, data privacy, auditability)
Deploy scalable solutions using cloud and MLOps best practices
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Required Skills & Qualifications
AI/ML Expertise
Strong background in Machine Learning, Deep Learning, NLP
Experience in:
o Classification, regression, clustering, anomaly detection
o Computer vision (for claims image assessment preferred)
Generative AI
Hands-on experience with:
o LLMs (GPT, Llama, etc.)
o Prompt engineering and evaluation
o Fine-tuning approaches (LoRA, PEFT)
Use cases in:
o Document understanding (OCR + LLM pipelines)
o Conversational AI
Agentic AI
Experience building:
o Autonomous agents for workflow automation
o Multi-agent collaboration systems
Familiarity with:
o Planning, memory, and tool usage in agents
o Frameworks like LangChain Agents, AutoGen, CrewAI
Insurance / BFSI Domain Knowledge
Strong understanding of:
o Insurance lifecycle (policy issuance claims settlement)
o Claims processing workflows (FNOL, adjudication, payout)
o Underwriting processes and risk scoring
o Fraud detection techniques in insurance
Data & Tech Stack
Python, SQL
Frameworks: PyTorch / TensorFlow, Hugging Face
Vector DBs: FAISS, Pinecone, Weaviate
Cloud: AWS / Azure / GCP
Data Platform: Databricks
Tools: Docker, Kubernetes
MLOps & Productionization
Model deployment, monitoring, and lifecycle management
CI/CD pipelines for ML systems
Experience integrating AI with enterprise systems (APIs, core insurance platforms)
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Preferred Qualifications
Experience working with insurance companies, TPAs, or InsurTech firms
Exposure to:
o OCR tools (for claims/document digitization)
o Knowledge graphs for policy relationships
Familiarity with regulatory frameworks in India or glob .
