Teams at Kyndryl

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Build and deploy production-ready generative and agentic AI solutions for customers. Responsibilities include customer engagement, rapid prototyping, multi-agent orchestration, RAG implementation, end-to-end deployment, performance optimization, security, documenting deployment insights, and contributing code and feedback to AI platforms. The role combines engineering, consulting, and product collaboration, often working directly on customer premises.

Build and deploy production-ready generative and agentic AI solutions directly with customers. Responsibilities include translating business needs into technical solutions, rapidly prototyping, developing multi-agent systems and RAG architectures, deploying and optimizing scalable systems, troubleshooting performance and reliability issues, documenting field learnings, and contributing code and feedback to internal AI platforms. The role requires customer engagement, technical communication, continuous learning, and willingness to work on customer premises and travel as needed.