Generative AI Architect

Role : GenAI Architect

Primary skills :

- C#/.Net core with strong experience in Azure AI services and implementation.

- Worked on POCs/Proposals related to AI solutioning.

Secondary Skills : Python

Job Description :

Key Responsibilities :

AI & Solution Engineering :

- Design and implement AI-driven systems using : Azure OpenAI, Azure AI Search, Azure ML, Azure AI Foundry (agent orchestration, lifecycle), Microsoft Copilot Studio (enterprise copilots & workflows)

- Build Retrieval-Augmented Generation (RAG) pipelines : Chunking strategies (semantic, recursive, hybrid), Embedding and vector search optimization

- Develop multi-agent and conversational AI systems

Application Development (.NET Focus) :

- Build and maintain scalable .NET Core microservices

- Develop REST APIs integrating AI services into enterprise platforms

- Ensure high performance, security, and resilience in distributed systems

Data & AI Pipeline Engineering :

- Design intelligent data pipelines : Data ingestion, transformation, embedding generation

- Work with Vector databases (Azure AI Search, Cosmos DB), SQL/NoSQL data stores

- Ensure data quality, retrieval accuracy, and performance

AI Operations & Optimization :

- Deploy and monitor AI systems in production

- Optimize : Token usage, Latency and throughput, Cost efficiency

- Implement observability (logging, telemetry, feedback loops)

- Manage model lifecycle (evaluation, retraining, tuning)