Who We Are

At Kyndryl, we run 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. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

As a 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.

We are seeking a highly skilled AI/ML Engineer with deep expertise in LLMs, agentic AI frameworks, MLOps, and Azure cloud environments. The ideal candidate will design, build, and deploy scalable AI systems leveraging modern LLM orchestration frameworks, vector search pipelines, and enterprisegrade MLOps practices. This role also requires strong collaboration across squads, the ability to articulate AI solutions to stakeholders, and an understanding of regulated industries such as banking.

As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products.

The AI Engineer is responsible for designing, building, deploying, and optimizing AIpowered solutions-including LLMbased automation, multiagent systems, and intelligent workflows-to support banking, regulatory, operations, and backoffice modernization initiatives.

The engineer collaborates with data, platform, security, and application teams to operationalize AI models that are secure, compliant, scalable, and aligned with organisation's digital transformation roadmap.

Key Responsibilities

Architect, develop, and operationalize LLMbased solutions using Azure OpenAI (GPT models, embeddings, vector search).
Build agentic AI systems and multiagent orchestration using frameworks such as LangChain, LangGraph, or equivalent.
Implement RAG systems, retrieval pipelines, embeddings, and prompt engineering best practices.
Develop scalable AI/microservice architectures using Python, containers, APIs, and eventdriven systems.
Build and maintain MLOps pipelines including CI/CD for model deployment, versioning, monitoring, and telemetry.
Perform data engineering tasks including ETL, ingestion, transformation, and vectorization.
Deploy AI workloads securely on Azure cloud following enterprise security and governance standards.
Partner with business and tech stakeholders to translate business challenges into AIdriven solutions.
Support model interpretability, explainability, and regulatory compliance for AI/ML systems.

Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it.

As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services.

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.

Who You Are

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.

Required Technical and Professional Experience

10+ Years of experience with Azure OpenAI models & APIs (GPT, embeddings, vector search).
Proficiency in LLMS, NLP, prompt engineering, embeddings, and RAG pipelines.
Experience with agentic AI and multiagent orchestration frameworks.
Strong working knowledge of LangChain, LangGraph, or similar orchestration tooling.
Strong Python programming skills for AI automation, pipelines, and backend services
Experience with containerized deployments (Docker), microservices, and REST APIs.
Familiarity with eventdriven architectures (queues, pub/sub, message brokers).
Handson experience with MLOps toolchains (CI/CD for models, monitoring, telemetry).
Data engineering proficiency in ETL, data ingestion, transformation, vectorization.
Experience working in Azure cloud ecosystems with secure deployment practices.

Preferred Technical and Professional Experience

Knowledge of ML frameworks such as PyTorch or TensorFlow.
Experience with reinforcement learning, supervised and unsupervised ML techniques.
Familiarity with MLflow, feature stores, and enterprise model registries
Exposure to banking operations-KYC, fraud, credit, payments.
Understanding of regulatory controls for AI (explainability, model risk governance).
Experience with GitLab CI/CD, Terraform/Helm, and Azure Kubernetes Service (AKS).
Knowledge of observability platforms such as Dynatrace, Azure Monitor, or ELK.

Being You

The Kyn in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. 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.

What You Can Expect

Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.

From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact Join us and help shape what's next.

Get Referred!

If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.

Associate Director – Data Science