- Lead the design and development of advanced AI systems including intelligent agents, conversational interfaces, and retrieval-augmented generation (RAG) architectures and systems
- Drive technical strategy and implementation for next-generation AI products
- Architect and build scalable agentic AI systems capable of autonomous decision-making and task execution
- Architect, design and optimize dialog agents with natural language understanding, context management, and multi-turn conversation capabilities
- Develop and optimize robust search and retrieval systems for RAG implementations, including vector databases, embedding strategies, and knowledge integration
- Take ownership of complex system design, from proof-of-concept to production deployment
- Establish best practices for AI model integration, prompt engineering, and system reliability
- Collaborate with product teams to translate business requirements into technical AI solutions
- Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
- Identify performance bottlenecks and improve systems scalability
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