GenAI Architect (AI/ML)
About The Position
GenAI Architect (AI/ML) GenAI Architect 5+ years of experience in IT industry with solid understanding of enterprise systems and architectures Experience in architecting and building GenAI as well as Classical AI Solutions The candidate should have the R&D mindset to constantly understand the industry trends and come up with scalable AI architecture. Generative AI Experience working in building GenAI solutions including RAG, Graph RAG, Agentic AI etc. Hands on experience in building Agentic workflows using LangChain, LanGraph or Google ADK Experience and understanding of different Agentic design patterns Experience in benchmarking different LLMs including open source and cloud hosted. Understanding of MCP Client Server architecture Hands on experience in Python Experience in building REST APIs in Flask or FastAPI Applications LLM Evaluation Methodologies Understanding of DevOps and MLOps including Docker and Kubernetes Classical AI (Good to have ) Understanding of shallow learning as well as deep learning models Experience in conceptualizing and solving problems in Structured Data Modeling,NLP and computer vision Understanding of MlOps frameworks and concepts
Requirements
- 5+ years of experience in IT industry with solid understanding of enterprise systems and architectures
- Experience in architecting and building GenAI as well as Classical AI Solutions
- R&D mindset to constantly understand the industry trends and come up with scalable AI architecture
- Experience working in building GenAI solutions including RAG, Graph RAG, Agentic AI etc.
- Hands on experience in building Agentic workflows using LangChain, LanGraph or Google ADK
- Experience and understanding of different Agentic design patterns
- Experience in benchmarking different LLMs including open source and cloud hosted.
- Understanding of MCP Client Server architecture
- Hands on experience in Python
- Experience in building REST APIs in Flask or FastAPI
- LLM Evaluation Methodologies
- Understanding of DevOps and MLOps including Docker and Kubernetes
Nice To Haves
- Understanding of shallow learning as well as deep learning models
- Experience in conceptualizing and solving problems in Structured Data Modeling,NLP and computer vision
- Understanding of MlOps frameworks and concepts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
