Agentic AI & Data Scientist
Role details
Job location
Tech stack
Job description
As a Agentic AI & Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation., * Build and optimize Agentic AI frameworks for autonomous systems at scale.
- Collaborate on research and innovation , publishing papers and integrating cutting-edge methods into production.
- Lead rapid prototyping and deployment , turning ideas into real-world AI solutions quickly.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
Requirements
Do you have experience in Python?, You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others., * Minimum 5 years of experience in Agentic AI & Data Scientist
- Fluent in French
- PhD or equivalent research experience in Computer Science, Mathematics, AI, or related field.
- Hands-on experience with Agentic AI / GenAI engineering , including building or contributing to frameworks (not just API usage).
- Strong programming skills in Python and architectural design (microservices, message brokers).
- Expert knowledge of:
- Machine Learning, Deep Learning, LLM APIs (OpenAI, Mistral, etc.)
- LangChain, LlamaIndex, CrewAI
- Vector DB and RAG
- Excellent understanding of GenAI technologies and market-leading vendor solutions.
- Ability to translate business needs into data science solutions and deliver scalable AI systems.
- Collaborative mindset with ability to operate independently in a high-trust, low-hierarchy team.
- Academic contributions (whitepapers, publications, open-source projects) are highly valued.
Preferred Skills and Experience
- Certifications in Azure, AWS, Google ML, or Databricks.
- Experience with graph theory, DevOps, distributed systems.
- Prior work in digital transformation or AI-native product development.
- Presence in academic communities (authorship, presentations).