Job Description
Responsibilities
- Define and own end-to-end GenAI architecture, including LLM orchestration, agent frameworks, and enterprise integrations.
- Design scalable, modular solutions using LLMs, embeddings, vector databases, and retrieval mechanisms.
- Architect agent-based and multi-agent systems for autonomous reasoning, planning, and workflow execution.
- Establish GenAI design patterns such as RAG, conversational AI, document intelligence, and context‑aware systems.
- Lead integration of GenAI solutions with enterprise systems using APIs, microservices, and event‑driven architectures.
- Define prompt engineering strategies, prompt lifecycle management, and context orchestration frameworks.
- Implement Responsible AI practices including governance, explainability, security, and compliance.
- Design human‑in‑the‑loop architectures with feedback loops, validation checkpoints, and fallback mechanisms.
- Establish...