Roles and Responsibilities :

- Design and develop AI-powered solutions for complex business problems, leveraging expertise in natural language processing (NLP) and machine learning.

- Collaborate with cross-functional teams to integrate AI models into existing systems, ensuring seamless integration and optimal performance.

- Develop data pipelines using big data technologies such as Hadoop, Spark, and NoSQL databases to support large-scale data processing requirements.

- Provide technical leadership on NLP projects, guiding junior team members on best practices, design patterns, and algorithmic improvements.

Job Requirements :

- Design and lead the implementation of end-to-end, high-performance Generative AI architectures, focusing on scalability, cost-efficiency, and resilience. Architect and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise-specific knowledge bases, including vector store integration, indexing, and retrieval optimization. Design and implement complex, multi-step Agentic AI systems and sophisticated conversational flows using frameworks like LangChain and LangGraph.





Establish robust MLOps and GenAI-Ops practices, integrating observability and evaluation tools such as LangSmith, Phoenix, or Langfuse to monitor model performance, latency, cost, and drift in production. Define and implement LLM evaluation methodologies, utilizing tools like Ragas to quantitatively assess the quality (e.g., faithfulness, answer relevance, context adherence) of RAG and Agentic AI applications. Continuously evaluate current LLMs, foundation models, open-source frameworks, and emerging GenAI technologies to recommend and integrate the best-fit solutions.

Work closely with Data Scientists, ML Engineers, and business stakeholders to translate complex business problems into technical AI/ML roadmaps and provide technical guidance to development teams. Leverage a strong background in ML/NLP to advise on and implement techniques for prompt engineering, model fine-tuning (e.g., LoRA, QLoRA), and advanced text processing. Be part of Technical Presales, Proposals and RFP response teams.

📌 Gen AI Architect (Bengaluru)
🏢 Premium
📍 Bengaluru