Role & responsibilities

Role Summary

We are seeking a highly experienced Technical Architect / Agent Native Solution Architect to lead the architecture, design, and implementation of cloud-native enterprise solutions while driving AI-enabled software engineering transformation.

The ideal candidate will combine deep expertise in Azure, .NET, Microservices, React, and Enterprise Architecture with solid knowledge of Generative AI, AI Agents, Agentic Workflows, Coding Assistants, and AI-driven SDLC automation. The role will modernize software delivery through intelligent agent-based solutions that improve engineering productivity, quality, speed, and consistency across the software development lifecycle.

Key Responsibilities

Solution Architecture & Engineering Leadership

- Define and evolve end-to-end architecture for enterprise applications and platforms.
- Design scalable, secure, and highly available cloud-native solutions on Microsoft Azure.
- Lead architecture governance, design reviews, and technical decision-making.
- Establish architecture standards, reusable patterns, and best practices.
- Mentor engineering teams and provide technical leadership across multiple initiatives.

Application & Cloud Architecture

- Design and implement .NET 8 microservices using Clean Architecture principles.
- Architect React/TypeScript-based web applications and Backend-for-Frontend (BFF) solutions.
- Design event-driven systems using Azure Service Bus and Azure Functions.
- Drive cloud adoption leveraging Azure Container Apps, Azure SQL, Key Vault, Application Insights, and related Azure services.

Agent Native & AI Engineering

- Design and implement Agent Native solutions for software engineering and SDLC automation.
- Build single-agent and multi-agent workflows for requirements, design,



development, testing, code reviews, defect remediation, documentation, deployment, and application support.
- Integrate AI agents with source code repositories, developer platforms, CI/CD pipelines, and engineering tools.
- Develop reusable agent frameworks, orchestration patterns, and AI-powered engineering accelerators.
- Evaluate and optimize agent performance, quality, reliability, productivity gains, and operational costs.
- Embed Responsible AI, governance, observability, and security controls into AI solutions.

Enterprise Integration
- Design integrations with platforms such as Solartis, Guidewire Billing Center, Laserfiche, Azure AD / Entra ID, external data providers, and AI-enabled business applications.

Security & DevOps

- Implement secure authentication and authorization using OAuth2, OIDC, JWT, and RBAC.
- Drive CI/CD, containerization, deployment automation, and engineering excellence practices.
- Ensure observability, resiliency, compliance, and operational readiness of solutions.

Required Skills Architecture & Engineering

- Enterprise Solution Architecture
- Microservices Architecture
- Clean Architecture & Domain-Driven Design (DDD)
- REST APIs and Event-Driven Architecture
- Software Design Patterns
- Full SDLC Delivery Experience

Microsoft & Cloud Technologies

- .NET 8 / ASP.NET Core and C#
- React and TypeScript
- Azure Container Apps, Azure Functions,



Azure SQL, Azure Service Bus
- Azure Key Vault, Azure Application Insights, Azure DevOps, and Logic Apps

Agentic AI & Generative AI

- Generative AI and LLM-based solutions
- Agent orchestration and multi-agent systems
- Context and state management
- Planning and task execution frameworks
- Human-in-the-loop workflows
- AI-assisted software development, coding assistants, and engineering copilots

DevOps & Platforms

- GitHub / Azure Repos and CI/CD Pipelines
- Docker and Helm
- Kubernetes (preferred)
- Infrastructure as Code using Terraform / Bicep (preferred)

Security & Governance

- OAuth2, OpenID Connect, and JWT
- RBAC and Claims-Based Authorization
- AI Governance and Responsible AI
- Security, Compliance, and Observability

Preferred Experience

- Property & Casualty Insurance domain.
- Underwriting, Rating, Billing, and Document Management platforms.
- Solartis, Guidewire Billing Center, or Laserfiche implementations.
- Enterprise AI transformation initiatives.
- AI-enabled SDLC automation programs.
- Deployment of production-grade AI agents and copilots.

Nice to Have
- Microsoft Azure Solutions Architect Expert.
- Azure AI Engineer Associate.
- TOGAF Certification.
- Experience with GitHub Copilot, Azure OpenAI, Copilot Studio, AutoGen, CrewAI, LangGraph, Semantic Kernel, or similar frameworks.
- Experience implementing enterprise-scale Agentic AI solutions.

Ideal Candidate A senior architect who can bridge enterprise architecture, cloud-native engineering, and Agentic AI, driving both application modernization and AI-powered software delivery transformation while enabling measurable improvements in engineering productivity, quality, and delivery speed.

📌 Technical Architect/ Solution Architect (Hyderabad)
🏢 RIG Enterprise Applications
📍 Hyderabad