- Duck Creek Technologies Working knowledge of Duck Creek OnDemand Duck Creek Policy Claims Billing and Rating modules; understanding of Duck Creeks Author/Manuscript configuration model Duck Creek Data Insights and Duck Creeks low-code/no-code extensibility framework
- Optional - Guidewire InsuranceSuite Basic knowledge of PolicyCenter ClaimCenter and BillingCenter architecture including Gosu scripting PC/CC/BC data model Integration Gateway Cloud API and Guidewire Cloud Platform (GWCP); familiarity with UI framework and Guidewire Marketplace apps
- Platform integration patterns Experience with how AI services plug into both platforms via REST/SOAP APIs event-driven architectures (Guidewire Cloud Events Duck Creeks integration points) webhooks and middleware (MuleSoft Boomi Azure Integration Services)
- Understanding of P&C; Commercial & Specialty product structures rating algorithms forms/endorsements exposure bases and how these map into platform data models
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 (Kafka) and how to expose AI capabilities as composable services consumable by both platforms
Governance & Compliance
- Working knowledge of model risk management explainability techniques
- Familiarity with SOC 2 data privacy (state insurance data regulations) and responsible AI frameworks as applied to carrier environments