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 lifecycl...