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Job Title: Technical Architect (AI) Experience Range: 12–15 Years Location: Noida Job Summary/ Job Opportunity 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. If you possess a passion for what you do, we await your innovation at Xceedance. Key Objectives And Major Responsibilities 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. Client & Team Collaboration: Work with Chief architect and other architecture team members for this initiative Partner with stakeholders to translate insurance workflows (e.g., policy administration) into technical solutions. Conduct hands-on code reviews, troubleshoot performance bottlenecks, and mentor teams in Python, .NET Core, and Angular. Present technical solutions in customer ARBs, including AI/ML ROI demonstrations. Key Capabilities And Competencies Technical Expertise (Hands-On Required) Languages & Frameworks: Python: Proficient in building agents, integrate with LLM models, and integrating them into .NET systems. .NET Core: Expertise in developing scalable Web APIs, Entity Framework, and cloud-native applications. Angular/React: Strong frontend development skills (Angular 13+, TypeScript). 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. Insurance Domain: Applied knowledge of underwriting, claims processing, and regulatory compliance. Soft Skills Ability to code, architect, and communicate solutions effectively to technical and non-technical stakeholders. Leadership in Agile/Scrum environments with a focus on delivering working software. 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. Skills: .net core,artificial intelligence,azure devops,code reviewes,mlops,design,cloud native development,machine learning,python development,kafka,ai models,azure,.net,python,ai development,ai/ml,typescript,azure services,angular,insurance Show more Show less
