The GenAI Engineer / Architect will design, build, and operationalize AI solutions—including RAG systems, AI agents, orchestration pipelines, and governance capabilities—for enterprise environments. This role requires deep expertise in modern LLM platforms, vector databases, AI governance, orchestration tools, and cloud AI services.

Responsibilities

- Architect end-to-end GenAI solutions using LLMs, RAG, embeddings, and vector search.

- Build agentic AI systems and orchestration layers.

- Develop document ingestion pipelines (OCR, metadata extraction).

- Create citation/reference verification modules.

- Design APIs, SDKs, and integration layers.

- Implement AI orchestration using Workato, AWS tools, or DigitalNet.

- Deploy AI workloads to Azure OpenAI, Azure AI Search, Azure ML, AKS.

- Integrate solutions with enterprise platforms including SharePoint.

- Implement Responsible AI controls and governance ...