Job Summary (Gen AI Architect):
- Lead the architecture and implementation of Generative AI solutions leveraging LangGraph LangChain and OpenAI (GPT models/APIs).
- Develop Retrieval-Augmented Generation (RAG) pipelines embedding systems and integrate with vector databases such as Pinecone FAISS Weaviate and Chroma.
- Provide hands-on expertise in Python PyTorch TensorFlow and Hugging Face frameworks.
- Design and implement secure AI workflows tailored for Banking and Financial Services applications including fraud detection compliance and automation.
- Collaborate with cross-functional stakeholders and DevOps to integrate AI/ML and Agentic AI models into enterprise-scale applications.
- Deploy solutions on cloud platforms (AWS Azure or GCP) with a preference for experience in MLOps/LLMOps.
- Require a minimum of 10 years of IT experience including at least 3 years in AI/ML/Generative AI architecture.