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Kyndryl Abu Dhabi Information Technology (IT) & Development

Agentic AI Data Scientist

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Description

Job Overview

As an Agentic AI Data Scientist at Kyndryl, you’ll help shape the future of advanced Agentic AI while working with a team that’s leading the industry. You’ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.

Company Overview

Kyndryl is a leading IT services and IT consulting company that designs, builds, manages, and modernizes the mission-critical technology systems the world depends on every day. Kyndryl is committed to building a more equitable, inclusive world for its employees, customers, and communities.

Quick Details

  • Salary Range: Market Competitive
  • Job Type: Full-time
  • Qualifications: Master’s Degree
  • Experience: 3+ years

Key Responsibilities

  • Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
  • 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.
  • Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.

Requirements

  • 3+ years of experience as an Agentic AI Data Scientist or in a comparable role.
  • Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills.
  • Hands-on experience delivering end-to-end GenAI projects and systems.
  • MSc in computer science, mathematics, AI, or a related field.
  • Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers).

Benefits

  • Empowerment to work remotely, flexibly, and at your best.
  • Innovation cycle to build a legacy portfolio and help reimagine what AI can do for business.
  • State-of-the-art resources and Fortune 100 clients.
  • Employee learning programs with certifications in Microsoft, Google, Amazon, and more.
  • Company-wide volunteering and giving platform.
  • Opportunities to innovate, build new capabilities, relationships, processes, and value.

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