Job Summary
Insurance Architect(Enterprise Solution Architect - Insurance Domain)
Experience
15+ Years overall experience with 5+ years in Enterprise Solution architecture and at least 2+ years in Insurance domain transformation programs.
Role Summary
We are seeking an experienced Enterprise AI Solution Architect to lead the design, architecture, and implementation of enterprise-scale AI solutions across the Insurance value chain. The ideal candidate should possess deep expertise in Generative AI, Agentic AI, enterprise architecture, AI governance, and insurance business processes including Underwriting, Claims, Policy Administration, Customer Service, Distribution, and Risk Management.
The architect will work closely with business stakeholders, product teams, data teams, and technology leaders to define AI strategy, build scalable AI platforms, and drive AI-led business transformation while ensuring governance, compliance, security, and regulatory adherence.
Key Responsibilities
Enterprise AI Strategy & Architecture
- Define enterprise AI architecture roadmap aligned with business and IT strategy.
- Architect scalable AI and GenAI platforms for Insurance business functions.
- Develop reusable AI reference architectures, patterns, and frameworks.
- Evaluate and recommend AI platforms, LLMs, and cloud-native AI services.
- Lead enterprise architecture reviews and technology governance boards.
Insurance Domain Transformation
- Drive AI adoption across:
- Policy Administration
- Claims Processing
- Underwriting
- Contact Centers
- Distribution & Agency Operations
- Fraud Detection
- Customer Servicing
- Risk & Compliance
- Identify AI use cases that improve customer experience, operational efficiency, and risk management.
- Collaborate with business leaders to build AI-driven operating models.
Agentic AI & Workflow Orchestration
- Architect deterministic and non-deterministic orchestration patterns.
- Design human-in-the-loop approval workflows.
- Build enterprise-grade autonomous and semi-autonomous AI solutions.
GenAI, Knowledge & Context Engineering
- Design enterprise RAG solutions.
- Architect:
- Knowledge Stores
- Context Stores
- Vector Databases
- Semantic Search Platforms
- Enterprise Knowledge Graphs
- Define LLM grounding and context management strategies.
- Establish prompt engineering and prompt governance frameworks.
AI Platform Architecture
- Design enterprise AI solutions using:
- Google Vertex AI OR
- Microsoft Azure AI Foundry
- Define:
- Model lifecycle management
- AI Observability
- Model gateways
- LLMOps pipelines
- AI Security frameworks
- Prompt management frameworks
AI Governance, Risk & Compliance
- Define Responsible AI strategy and governance framework.
- Perform AI risk assessments and control evaluations.
- Implement controls for:
- Privacy
- Security
- Regulatory Compliance
- Model Risk Management
- Hallucination Prevention
- Prompt Injection Controls
- Explainability and Auditability
- Ensure compliance with Insurance regulatory requirements and enterprise risk frameworks.
Skill Requirements
Enterprise Architecture
- TOGAF
- Enterprise Architecture Frameworks
- API & Integration Architecture
- Microservices Architecture
- Event-Driven Architecture
Cloud & Engineering
- GCP or Azure
- Kubernetes
- Docker
- Python
- DevOps / MLOps / LLMOps
Governance & Risk
- Responsible AI
- AI Governance Frameworks
- AI Risk Controls
- Regulatory Compliance
- Security Architecture
- Data Governance
Insurance Domain Experience (Mandatory)
Business Areas
- Life Insurance
- Group Insurance
- Retirement & Pension
- Annuities
- Health Insurance
- Property & Casualty Insurance
Functional Knowledge
- New Business & Policy Servicing
- Claims Management
- Underwriting
- Broker & Agency Management
- Customer Experience Platforms
- Digital Insurance Transformation
- Insurance Product Management
- Duck Creek
- Majesco
- TIA
- Sapiens
- Insurity
Leadership Expectations
- Lead AI architecture governance across large insurance programs.
- Engage with CxO stakeholders and business executives.
- Drive AI innovation and consulting engagements.
- Mentor architects, engineers, and AI delivery teams.
- Support pre-sales, solutioning, and transformation initiatives.