Gen AI Architect

Job Description

• Should lead key initiatives on new tech trends, R&D on new product POC.
• Work on proposals, provide solutions architecture design on different business use cases.
• Ability to work across various different GenAI Models and cloud providers.
• Should have strong experience in implementing projects in Digital Engineering or Data Analytics.
• Technically lead a team of developers and groom talent.
• Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack.
• Should have experience in LLM fine tuning.
• Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java.
• Ability to build API based scalable solutions and debug & troubleshoot software or design issues; hands on exposure to integrating at least one of the popular LLMs (Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
• Thorough understanding of prompt engineering; implementation exposure to LLM agents like Lang Chain & vector databases Pinecone or Chroma or FAISS.
• Basic data engineering skills to load structured & unstructured data from source systems to target data stores; build and maintain data pipelines and infrastructure to support.
• Hands on exposure to using cloud (Azure/GCP/AWS) services for storage, serverless logic, search, transcription and chat.
• Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG.