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 / GCP)
• 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