EPAM - Solution Architect - .Net/Agentic AI

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. (ref:hirist.tech)