Job Summary
We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains.

Key Responsibilities
Customer Engagement & Solution Architecture
- Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.
- Architect and design AI/ML systems across AWS, GCP, or Azure with a solid focus on cloud-native and cost-optimized architecture.
- Create detailed system design documents, architecture diagrams, and technical roadmaps.
- Define data architecture, storage,



and retrieval strategies tailored to AI/ML workflows.

GenAI & RAG Architecture
- Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.
- Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization.
- Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.

AI/ML Model Development & MLOps
- Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.
- Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML.
- Define and implement model monitoring, retraining, and performance management strategies for production-grade ML system

📌 AI/ML Architect (Bengaluru)
🏢 Relanto
📍 Bengaluru