GEN AI Architect

Job Description

Must Have Technical/Functional Skills

Must Have Technical / Functional Skills

Architecture-level expertise in Python for enterprise GenAI solutions

Design and implementation of large-scale GenAI platforms

API and microservices architecture using FastAPI / Flask

Deep experience with LLMs, Prompt Engineering, RAG, and Agentic AI

Hands-on experience with LangChain, LlamaIndex, Hugging Face

AI-enabled data pipelines and workflows

Model lifecycle management, observability, and monitoring

Responsible AI, data privacy, security, and compliance

Good to Have Skills

Gemini LLM and multi-LLM orchestration

ML frameworks: PyTorch, TensorFlow, Keras

NLP and vector databases

Cloud-native AI (AWS / Azure / Google Cloud Platform)

Docker, Kubernetes

Presales and client-facing solutioning

Roles & Responsibilities

Define end-to-end GenAI architecture

Lead solution design and technical strategy

Architect RAG and Agentic AI solutions

Govern architecture standards and best practices

Mentor engineers and review designs and code