Agentic AI Data Scientist - Architect the Future
Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 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 across industries. We're not just talking innovation - we're building it. Fast .
- Startup inside Kyndryl: Zero bureaucracy. You’ll work with autonomy, follow your own leads, and build real systems – not tickets.
- Tech-first, action-oriented culture: Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
- Direct impact at scale: Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
- Deep academic integration: Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
- Work that matters: Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
- True builder’s environment: Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally — ideas over titles.
- 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.
- 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)
- 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)