AI Solution Architect

Responsibilities

• Plan, architect, and deploy AI systems, including Generative AI models and AI agents
• Integrate AI solutions into existing business and data infrastructures
• Evaluate and adopt suitable RAG (Retrieval-Augmented Generation) frameworks such as LangChain, Flowise, and RAGflow
• Ensure that frameworks and technologies align with enterprise goals and compliance requirements
• Design robust data pipelines for ingestion, transformation, and indexing
• Implement best practices for vector databases, semantic search, and knowledge-base indexing
• Devise prompt-engineering and response-validation mechanisms for reliable AI outputs
• Incorporate thorough testing, quality control, and RLHF (Reinforcement Learning from Human Feedback) techniques where applicable
• Architect agent-based solutions that can autonomously interact with systems and make informed decisions
• Integrate operator-based flows that augment human workflows

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