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About the Role
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. We're solving real-world problems at a massive scale, powered by creativity, precision, and a shared obsession with what’s next. 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.
Responsibilities
- Drive Kyndryl as an AI-native company using your ideas and IP to shape transformation.
- Serve as the bridge between deep technical work and business transformation, identifying solutions to problems using agentic AI.
- Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally.
- Expect rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
- Balance advanced programming with strategic thinking and customer interaction.
- Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
- Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
- Work on and co-own a modular, open-source agentic AI framework - integrating GenAI and real world tools.
- Mentor and inspire a new generation of researchers and developers.
- Be an industrial PhD supervisor and co-author whitepapers, publishing as a key contributor with 2nd or 3rd attribution.
Requirements
- PhD or equivalent research experience in computer science, mathematics, AI, or a related field
- Hands-on agentic AI engineering exposure - building or contributing to frameworks, not just using APIs
- Strong programming fluency (Python) and architectural design (e.g. microservice ecosystems, message brokers)
- Ability to operate independently and collaborate within a high-trust, low-hierarchy team
- Contributions to academic/technical communities and shaping open-source projects
- Certifications in Azure, AWS, or Google ML platforms
- Demonstrated contributions to graph theory, DevOps, or distributed systems
- Previous projects involving digital transformation, AI-native product development or enterprise automation
- Presence in academic or whitepaper communities (authorship, publication or presentation)
Skills
- Agentic AI
- Python
- Azure ML
- GenAI
- Graph Theory
- DevOps
- Distributed Systems
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- PhD or equivalent research experience
Education Level
- PhD
Benefits
- Be Well programs designed to support financial, mental, physical, and social health
- Access to cutting-edge learning opportunities
- Certifications with Microsoft, Google, and Amazon
- Coaching
- Hands-on experiences
About the Company
- Kyndryl runs and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.
- We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge.
- We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences.
- We believe in growth, and we’re excited to see what you can bring.
- At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging.
- That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers.
- This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success.
- That’s The Kyndryl Way.
Equal Opportunity
- We welcome people of all cultures, backgrounds, and experiences.
- Even if you don’t meet every requirement, we encourage you to apply.