Key Responsibilities
Design and implement scalable AI/ML and Generative AI architectures for enterprise applications.
Develop LLM-powered applications, autonomous AI agents, and multi-agent orchestration systems.
Architect state management and persistent memory systems for long-running AI workflows.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
Lead the evaluation, selection, and implementation of AI technologies, frameworks, and infrastructure.
Collaborate with stakeholders to define business requirements and convert them into technical solutions.
Design and implement AI evaluation, observability, and monitoring frameworks.
Develop scalable APIs, microservices, and distributed AI systems.
Deploy and manage AI solutions on cloud platforms, primarily AWS.
Implement MLOps/LLMOps practices for model lifecycle management and deployment automation.
Mentor engineering teams and bridge the gap between ...