Insurance AI Architect

Coforge Limited; Greater Noida; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Duck Creek Technologies in Greater Noida seeks an Insurance AI Architect to lead platform integrations and AI-driven underwriting, claims and pricing workflows across Duck Creek and Guidewire ecosystems.

You will design low-code/no-code extensions, manage data models, and ensure governance for model risk and regulatory compliance while partnering with executives and stakeholders.

Qualifications

• Hands-on experience with Duck Creek OnDemand and related modules.
• Knowledge of Guidewire PolicyCenter/ClaimCenter architecture is a plus.
• Strong background in AI/ML, data engineering and cloud platforms.
• Experience with integration patterns and middleware tooling.

Responsibilities

• Lead architecture for Duck Creek and Guidewire integrations.
• Define and govern AI/ML workloads and deployment pipelines.
• Collaborate with executives to shape platform strategy and risk controls.
• Ensure regulatory compliance and model risk management.

Skills

Duck Creek

Guidewire

Platform integration

P&C Insurance

AI/ML architectures

Cloud platforms

Tools

MuleSoft

Boomi

Azure Integration Services

Kafka

Job description

• Duck Creek Technologies ? Working knowledge of Duck Creek OnDemand, Duck Creek Policy, Claims, Billing, and Rating modules; understanding of Duck Creek's Author/Manuscript configuration model, Duck Creek Data Insights, and Duck Creek's 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 Creek's 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
• 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

Executive & Stakeholder Communication

• Executive storytelling & influence
• Trusted advisor positioning
• Change management fluency

Skills Required

Duck Creek

Location

Greater Noida

Guidewire,Insurance AI Architect,Architect,GEN AI