Role Overview :

We are looking for an experienced Solution Architect with strong expertise in .NET technologies and modern AI Agentic architectures. The candidate will be responsible for designing enterprise-grade applications that combine .NET, cloud-native technologies, Generative AI, LLMs, AI agents, and enterprise integrations.

Key Responsibilities :

- Design end-to-end enterprise solutions using .NET and modern AI/Agentic technologies.

- Architect scalable applications using .NET Core, ASP.NET Core, C#, microservices, and cloud-native patterns.

- Design AI Agentic solutions capable of orchestrating tasks, workflows, tools, APIs, and enterprise systems.

- Define architectures for LLM-powered applications, AI agents, RAG pipelines, and intelligent automation.

- Integrate AI agents with enterprise applications, databases, APIs, business workflows, and external systems.

- Design multi-agent and agent-orchestration patterns for complex business use cases.

- Evaluate and select appropriate LLMs, AI frameworks, vector databases, and orchestration technologies.

- Design secure and scalable APIs and microservices for AI-enabled applications.

- Establish architecture standards for AI governance, security, observability, scalability, and responsible AI usage.

- Lead technical discussions and architecture reviews with engineering, product, data, and business stakeholders.

- Drive modernization of existing .NET applications by incorporating AI capabilities where appropriate.

- Design enterprise integrations using REST APIs, messaging systems, event-driven architecture, and middleware.

- Define strategies for prompt management, context management, memory, tool calling, and agent evaluation.

- Ensure AI solutions meet enterprise security, privacy, performance, and compliance requirements.

- Mentor developers and technical leads and provide guidance on .NET and AI architecture best practices.

Technical Skills :

- Strong expertise in C#, .NET Core, ASP.NET Core, Web APIs, and microservices.

- Strong understanding of enterprise application and distributed-system architecture.

- Hands-on knowledge of Generative AI, LLMs, RAG, prompt engineering, and AI agents.

- Experience with agentic frameworks and orchestration patterns.

- Understanding of tool calling, function calling, agent memory, context management, and workflow orchestration.

- Experience integrating LLMs with enterprise applications and APIs.

- Knowledge of vector databases, embeddings, semantic search, and retrieval architectures.

- Strong experience with REST APIs, event-driven architecture, messaging, and enterprise integrations.

- Experience with Azure or other cloud platforms and cloud-native architecture.

- Knowledge of Docker, Kubernetes, CI/CD, DevOps, monitoring, and observability.

- Strong understanding of application security and AI security considerations.

Preferred Profile :

- Strong experience in solution architecture and enterprise technology transformation.

- Ability to bridge conventional .NET architecture with emerging AI/Agentic technologies.

- Strong communication and stakeholder-management skills.

- Ability to lead architecture discussions and influence technical decisions.

- Strong problem-solving and strategic technology-thinking capabilities.