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.
- Solid 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.

📌 EPAM - Solution Architect - .Net/Agentic AI (India)
🏢 EPAM Systems
📍 India