Job
Description
Client is a name in Insurance domain with global presence. They are specialized in "Property & Casualty" vertical of Insurance whose major market is US, Europe, Australia. We seek a hands-on Technical Architect (AI) to design and implement AI-driven architectures for our insurance ecosystem. You will lead by example, combining deep coding expertise in Python, .NET Core, Angular, and Azure with architectural vision to modernize systems, reduce costs, and integrate AI/ML solutions. This role demands active contribution to code, PoCs, and system design while guiding teams and clients. Hands-On Development: Design, code, and optimize AI models (e.g., predictive underwriting, claims (automation) using Python, Azure AI Services, and LLMs . Build .NET Core Web APIs , Angular/React UIs , and Azure-native applications (Functions, Logic Apps, Azure SQL). Develop AI accelerators (e.g., Agentic AI workflows, RAG pipelines) and PoCs for insurance use cases. Architecture & Delivery: Help in designing, imagining, and building the roadmap for the Organisation in AI in SDLC and emerging technologies in this space. Lead end-to-end implementation of AI use cases using cloud native (Azure) technologies Architect event-driven systems using Kafka, Azure Event Grid, or similar tools. Enforce code quality via SonarQube, security via Guiderails, and CI/CD best practices. Cloud & AI: Azure : Hands-on with Cognitive Services, AI Foundry, Logic Apps, Power Automate AI Builder , and Azure SQL. DevOps : CI/CD pipelines (Azure DevOps), Infrastructure-as-Code (ARM/Bicep). AI/ML : GitHub Copilot, Foundational models, integrations of such models, LLM fine-tuning, prompt engineering, and MLOps for insurance workflows. Qualifications & Experience 12–15 years of experience, including 5+ years as a hands-on architect in AI/ML and cloud-native development. Proven track record of coding in Python, .NET Core, and Azure services (shareable GitHub/GitLab links preferred). Insurance domain experience (e.g., policy administration systems, claims automation). Certifications: Azure Solutions Architect Expert , AWS/GCP Cloud Architect (preferred). Bachelor’s/master’s in computer science, Engineering, or related field. Show more Show less
