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Agentic AI Data Scientist

Kyndryl

$70,800 - $315,720
Oct 6, 2025
New York, NY, USA
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Kyndryl is looking to solve meaningful challenges through Agentic AI by architecting and scaling a next-gen open-source framework that powers autonomous systems across industries, driving the company to become an AI-native organization.

Requirements

  • PhD or equivalent research experience in computer science, mathematics, AI, or a related field
  • Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
  • Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
  • Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
  • Certifications in Azure, AWS, or Google ML platforms
  • Demonstrated contributions to graph theory, DevOps, or distributed systems
  • Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio

Responsibilities

  • Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools.
  • Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
  • Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
  • Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
  • Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
  • Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
  • Build a legacy portfolio and help reimagine what AI can do for business.

Other

  • Ability to operate independently and collaborate within a high-trust, low-hierarchy team
  • Contributions to academic/technical communities and shaping open-source projects
  • Previous projects involving digital transformation, AI-native product development, or enterprise automation
  • Presence in academic or whitepaper communities (authorship, publication, or presentation)
  • Excellent problem-solving, analytical, and critical thinking skills