The GenAI Solution Architect is a key member of the AI R&D team, responsible for designing and delivering advanced AI solutions leveraging LLMs, RAG, agentic architectures, and orchestration frameworks
Job Summary
The GenAI Solution Architect is a key member of the AI R&D team, responsible for designing and delivering advanced AI solutions leveraging LLMs, RAG, agentic architectures, and orchestration frameworks.
Key Responsibilities include designing and implementing scalable GenAI solutions, leading development of agentic and orchestrated multi-agent architectures, and collaborating with ML engineers to integrate models with enterprise data pipelines.
Key Performance Indicators include delivery of GenAI-based pilots and solutions within agreed timelines and successful integration of agentic AI into at least two core business processes in year one.
Matching Summary
The GenAI Solution Architect is a key member of the AI R&D team, responsible for designing and delivering advanced AI solutions leveraging LLMs, RAG, agentic architectures, and orchestration frameworks.
Skills & Requirements
Must-have
LLMs, RAG, and multi-agent architectures
GenAI frameworks and agent orchestration tools
Enterprise data pipeline integration
Enhance RPA with AI capabilities
Nice-to-have
Technical leadership and mentorship
Accelerate knowledge transfer
Stakeholder feedback on quality and scalability
Key Requirements
Master’s degree in Computer Science, Engineering, or related field
Hands-on experience building production-ready AI solutions
Demonstrated experience with modern LLM and GenAI frameworks